A. Iedo Rocha Ribeiro
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Why Is A. Iedo Rocha Ribeiro Influential?
(Suggest an Edit or Addition)A. Iedo Rocha Ribeiro's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Symbol error probabilities for general Cooperative links (2004) (841)
- Consensus in Ad Hoc WSNs With Noisy Links—Part I: Distributed Estimation of Deterministic Signals (2008) (704)
- Bandwidth-constrained distributed estimation for wireless sensor Networks-part I: Gaussian case (2006) (522)
- SOI-KF: Distributed Kalman Filtering With Low-Cost Communications Using the Sign of Innovations (2006) (358)
- Distributed compression-estimation using wireless sensor networks (2006) (344)
- Bandwidth-constrained distributed estimation for wireless sensor networks-part II: unknown probability density function (2006) (309)
- Sampling of Graph Signals With Successive Local Aggregations (2015) (240)
- Network Topology Inference from Spectral Templates (2016) (228)
- Connecting the Dots: Identifying Network Structure via Graph Signal Processing (2018) (224)
- Convolutional Neural Network Architectures for Signals Supported on Graphs (2018) (217)
- Optimal Graph-Filter Design and Applications to Distributed Linear Network Operators (2017) (214)
- Consensus in Ad Hoc WSNs With Noisy Links—Part II: Distributed Estimation and Smoothing of Random Signals (2008) (212)
- Stationary Graph Processes and Spectral Estimation (2016) (198)
- Online optimization in dynamic environments: Improved regret rates for strongly convex problems (2016) (181)
- DLM: Decentralized Linearized Alternating Direction Method of Multipliers (2015) (160)
- A Graph Signal Processing Perspective on Functional Brain Imaging (2018) (157)
- Ergodic Stochastic Optimization Algorithms for Wireless Communication and Networking (2010) (156)
- Optimal Power Management in Wireless Control Systems (2014) (155)
- Kalman Filtering in Wireless Sensor Networks (2010) (155)
- DSA: Decentralized Double Stochastic Averaging Gradient Algorithm (2015) (150)
- Learning Optimal Resource Allocations in Wireless Systems (2018) (150)
- Decentralized Dynamic Optimization Through the Alternating Direction Method of Multipliers (2013) (150)
- Decentralized Quantized Kalman Filtering With Scalable Communication Cost (2008) (148)
- RES: Regularized Stochastic BFGS Algorithm (2014) (144)
- Optimal Wireless Resource Allocation With Random Edge Graph Neural Networks (2019) (142)
- Global convergence of online limited memory BFGS (2014) (141)
- A Saddle Point Algorithm for Networked Online Convex Optimization (2014) (137)
- Network Newton Distributed Optimization Methods (2017) (136)
- Robust Control for Mobility and Wireless Communication in Cyber–Physical Systems With Application to Robot Teams (2012) (132)
- Graph Frequency Analysis of Brain Signals (2015) (131)
- Functional Alignment with Anatomical Networks is Associated with Cognitive Flexibility (2016) (127)
- Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks (2019) (110)
- Analysis of Optimization Algorithms via Integral Quadratic Constraints: Nonstrongly Convex Problems (2017) (106)
- Greedy Sampling of Graph Signals (2017) (105)
- Accelerated Dual Descent for Network Flow Optimization (2014) (103)
- DQM: Decentralized Quadratically Approximated Alternating Direction Method of Multipliers (2015) (102)
- A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization (2016) (100)
- Robust Control of Mobility and Communications in Autonomous Robot Teams (2013) (99)
- Reconstruction of Graph Signals Through Percolation from Seeding Nodes (2015) (97)
- A Class of Prediction-Correction Methods for Time-Varying Convex Optimization (2015) (97)
- Network Integrity in Mobile Robotic Networks (2013) (94)
- Opportunistic Control Over Shared Wireless Channels (2015) (93)
- Decentralized Quasi-Newton Methods (2016) (88)
- Stability and Continuity of Centrality Measures in Weighted Graphs (2014) (87)
- Prediction-Correction Interior-Point Method for Time-Varying Convex Optimization (2016) (87)
- Cooperative Communications in Wireless Networks (2009) (86)
- Separation Principles in Wireless Networking (2010) (83)
- Optimal resource allocation in wireless communication and networking (2012) (80)
- Diffusion Scattering Transforms on Graphs (2018) (79)
- Proximity Without Consensus in Online Multiagent Optimization (2016) (78)
- Authorship Attribution Through Function Word Adjacency Networks (2014) (71)
- Demand Response Management in Smart Grids With Heterogeneous Consumer Preferences (2015) (70)
- D-MAP: Distributed Maximum a Posteriori Probability Estimation of Dynamic Systems (2013) (70)
- Parsimonious Online Learning with Kernels via sparse projections in function space (2016) (70)
- Blind Identification of Graph Filters (2016) (69)
- Navigation Functions for Convex Potentials in a Space With Convex Obstacles (2016) (63)
- Graph Policy Gradients for Large Scale Robot Control (2019) (62)
- Rating Prediction via Graph Signal Processing (2018) (62)
- IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate (2017) (59)
- Hessian Aided Policy Gradient (2019) (59)
- Optimal Distributed Stochastic Routing Algorithms for Wireless Multihop Networks (2008) (53)
- Axiomatic construction of hierarchical clustering in asymmetric networks (2013) (52)
- Accelerated dual descent for network optimization (2011) (51)
- Opportunistic multipath for bandwidth-efficient cooperative networking (2004) (49)
- Decentralized Prediction-Correction Methods for Networked Time-Varying Convex Optimization (2015) (48)
- Concurrent Control of Mobility and Communication in Multirobot Systems (2017) (47)
- Adaptive Communication-Constrained Deployment of Unmanned Vehicle Systems (2012) (45)
- Decentralized Online Learning With Kernels (2017) (44)
- Control Aware Radio Resource Allocation in Low Latency Wireless Control Systems (2018) (42)
- Decentralized linearized alternating direction method of multipliers (2014) (41)
- Stochastic Averaging for Constrained Optimization With Application to Online Resource Allocation (2016) (40)
- Adaptive distributed algorithms for optimal random access channels (2010) (39)
- Diffusion filtering of graph signals and its use in recommendation systems (2016) (37)
- Interpolation of graph signals using shift-invariant graph filters (2015) (37)
- Opportunistic multipath for bandwidth-efficient cooperative multiple access (2006) (36)
- D4L: Decentralized Dynamic Discriminative Dictionary Learning (2015) (35)
- Distributed implementation of linear network operators using graph filters (2015) (35)
- A Newton-Based Method for Nonconvex Optimization with Fast Evasion of Saddle Points (2017) (35)
- Random access design for wireless control systems (2016) (34)
- Modelling and Optimization of Stochastic Routing for Wireless Multi-Hop Networks (2007) (34)
- A class of convergent algorithms for resource allocation in wireless fading networks (2010) (33)
- Surpassing Gradient Descent Provably: A Cyclic Incremental Method with Linear Convergence Rate (2016) (33)
- Network topology identification from spectral templates (2016) (33)
- Predicting Power Outages Using Graph Neural Networks (2018) (32)
- Authorship attribution using function words adjacency networks (2013) (32)
- Online Learning of Feasible Strategies in Unknown Environments (2016) (32)
- Multi-source cooperation with full-diversity spectral-efficiency and controllable-complexity (2006) (32)
- Bayesian Quadratic Network Game Filters (2013) (31)
- Invariance-Preserving Localized Activation Functions for Graph Neural Networks (2019) (30)
- Control-Aware Random Access Communication (2016) (29)
- Approximate Supermodularity Bounds for Experimental Design (2017) (29)
- A Primal-Dual Quasi-Newton Method for Exact Consensus Optimization (2018) (29)
- Distributed Linear Network Operators using Graph Filters (2015) (28)
- Hierarchical Quasi-Clustering Methods for Asymmetric Networks (2014) (28)
- Distributed Network Optimization With Heuristic Rational Agents (2012) (28)
- An approximate Newton method for distributed optimization (2015) (27)
- Learning in network games with incomplete information: asymptotic analysis and tractable implementation of rational behavior (2013) (26)
- Motion planning for robust wireless networking (2012) (26)
- Mobility & routing control in networks of robots (2010) (25)
- Accelerated backpressure algorithm (2013) (25)
- Self-triggered time-varying convex optimization (2016) (25)
- Interior point method for dynamic constrained optimization in continuous time (2015) (24)
- Gated Graph Convolutional Recurrent Neural Networks (2019) (24)
- Brain signal analytics from graph signal processing perspective (2017) (24)
- Controllability of Bandlimited Graph Processes Over Random Time Varying Graphs (2019) (23)
- The mean square error in Kalman filtering sensor selection is approximately supermodular (2017) (23)
- Decentralized quadratically approximated alternating direction method of multipliers (2015) (23)
- Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients (2018) (22)
- Distributed control of mobility & routing in networks of robots (2011) (21)
- Learning in Wireless Control Systems Over Nonstationary Channels (2018) (21)
- A distributed line search for network optimization (2012) (21)
- State-based communication design for wireless control systems (2016) (21)
- Regularized stochastic BFGS algorithm (2013) (20)
- Optimal Wireless Networks Based on Local Channel State Information (2011) (20)
- Adversarial Robustness with Semi-Infinite Constrained Learning (2021) (20)
- Diffusion and Superposition Distances for Signals Supported on Networks (2014) (20)
- Optimal Wireless Communications With Imperfect Channel State Information (2013) (20)
- Online learning for characterizing unknown environments in ground robotic vehicle models (2016) (20)
- Near-optimality of greedy set selection in the sampling of graph signals (2016) (19)
- Distributed Fictitious Play for Multiagent Systems in Uncertain Environments (2018) (19)
- Learning to Coordinate in Social Networks (2014) (19)
- Rethinking sketching as sampling: Linear transforms of graph signals (2016) (18)
- Consensus-Based Distributed Parameter Estimation in Ad Hoc Wireless Sensor Networks with Noisy Links (2007) (18)
- Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints (2019) (18)
- Learning Decentralized Wireless Resource Allocations With Graph Neural Networks (2021) (18)
- CONVOLUTIONAL NEURAL NETWORKS VIA NODE-VARYING GRAPH FILTERS (2017) (17)
- Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy (2018) (17)
- Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method (2017) (17)
- A variational approach to dual methods for constrained convex optimization (2017) (17)
- First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization (2017) (17)
- The Dual Graph Shift Operator: Identifying the Support of the Frequency Domain (2017) (17)
- Hierarchical clustering of asymmetric networks (2016) (17)
- Network Newton (2014) (17)
- Stochastic Policy Gradient Ascent in Reproducing Kernel Hilbert Spaces (2018) (17)
- Rethinking Sketching as Sampling: A Graph Signal Processing Approach (2016) (16)
- A linearized bregman algorithm for decentralized basis pursuit (2013) (16)
- Distributed Inertial Best-Response Dynamics (2016) (16)
- Ergodicity in Stationary Graph Processes: A Weak Law of Large Numbers (2018) (16)
- Metrics in the Space of High Order Networks (2015) (16)
- Distributed continuous-time online optimization using saddle-point methods (2016) (15)
- Persistent Homology Lower Bounds on High-Order Network Distances (2015) (15)
- Collaborative filtering via graph signal processing (2017) (15)
- Center-weighted median graph filters (2016) (15)
- Optimal robust multihop routing for wireless networks of mobile micro autonomous systems (2010) (14)
- Optimal FDMA over wireless fading mobile ad-hoc networks (2008) (14)
- Achieving Wireline Random Access Throughput in Wireless Networking Via User Cooperation (2005) (14)
- A decentralized prediction-correction method for networked time-varying convex optimization (2016) (14)
- A stable betweenness centrality measure in networks (2014) (14)
- Large-scale nonconvex stochastic optimization by Doubly Stochastic Successive Convex approximation (2017) (14)
- Distributed fictitious play in potential games of incomplete information (2015) (14)
- Stochastic Routing and Scheduling Policies for Energy Harvesting Communication Networks (2017) (14)
- Distributed Kalman filtering based on quantized innovations (2008) (14)
- Robust Routing in Wireless Multi-Hop Networks (2007) (14)
- Large Scale Wireless Power Allocation with Graph Neural Networks (2019) (14)
- Hierarchical Clustering Given Confidence Intervals of Metric Distances (2016) (14)
- A Prediction-Correction Method for Model Predictive Control (2018) (13)
- Distributed maximum a posteriori probability estimation of dynamic systems with wireless sensor networks (2012) (13)
- A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning (2016) (13)
- Learning in linear games over networks (2012) (13)
- Doubly random parallel stochastic methods for large scale learning (2016) (13)
- Blind identification of graph filters with sparse inputs (2015) (12)
- Online Learning over a Decentralized Network Through ADMM (2015) (12)
- Link-Adaptive Distributed Coding for Multisource Cooperation (2008) (12)
- Non-parametric distributed quantization-estimation using wireless sensor networks (2005) (12)
- A decentralized quasi-Newton method for dual formulations of consensus optimization (2016) (12)
- Robust routing and Multi-Confirmation Transmission Protocol for connectivity management of mobile robotic teams (2014) (12)
- Stationary graph processes: Nonparametric spectral estimation (2016) (12)
- An Agnostic Approach to Federated Learning with Class Imbalance (2022) (11)
- Parallel Stochastic Successive Convex Approximation Method for Large-Scale Dictionary Learning (2018) (11)
- Stochastic soft backpressure algorithms for routing and scheduling in wireless ad-hoc networks (2009) (11)
- Constrained Learning With Non-Convex Losses (2021) (11)
- Persistent homology lower bounds on network distances (2016) (11)
- Design of weighted median graph filters (2017) (11)
- Target tracking with dynamic convex optimization (2015) (11)
- Functional Nonlinear Sparse Models (2018) (10)
- Accelerated dual descent for constrained convex network flow optimization (2013) (10)
- Transferability Properties of Graph Neural Networks (2021) (10)
- A quasi-Newton method for large scale support vector machines (2014) (10)
- Network optimization under uncertainty (2012) (10)
- Distributed Smooth and Strongly Convex Optimization with Inexact Dual Methods (2018) (10)
- Layer separability of wireless networks (2008) (10)
- Hierarchical clustering methods and algorithms for asymmetric networks (2013) (10)
- Blind identification of graph filters with multiple sparse inputs (2016) (10)
- Control with random access wireless sensors (2015) (9)
- Control of Graph Signals Over Random Time-Varying Graphs (2018) (9)
- Optimal power management in wireless control systems (2013) (9)
- Alternative axiomatic constructions for hierarchical clustering of asymmetric networks (2013) (9)
- Decentralized double stochastic averaging gradient (2015) (9)
- Cooperative Special Issue on Graph Signal Processing in the IEEE Journal of Selected Topics in Signal Processing and the IEEE Transactions on Signal and Information Processing Over Networks (2017) (9)
- Finite-precision effects on graph filters (2017) (9)
- Weak law of large numbers for stationary graph processes (2017) (9)
- Optimal wireless multiuser channels with imperfect channel state information (2012) (8)
- Median Activation Functions for Graph Neural Networks (2018) (8)
- Increasing the throughput of spread-Aloha protocols via long PN spreading codes (2005) (8)
- Opportunistic scheduling of control tasks over shared wireless channels (2014) (8)
- Power-aware communication for wireless sensor-actuator systems (2013) (8)
- Strong Duality of Sparse Functional Optimization (2018) (8)
- Distributed demand side management of heterogeneous rational consumers in smart grids with renewable sources (2014) (8)
- Stability of Neural Networks on Riemannian Manifolds (2021) (8)
- Navigation of a Quadratic Potential with Ellipsoidal Obstacles (2019) (8)
- Random Access Communication for Wireless Control Systems With Energy Harvesting Sensors (2018) (8)
- Demand Response With Communicating Rational Consumers (2015) (8)
- Hybrid architecture for communication-aware multi-robot systems (2016) (8)
- Learning in Non-Stationary Wireless Control Systems via Newton's Method (2018) (8)
- A decentralized Second-Order Method for Dynamic Optimization (2016) (7)
- CTH13-4: Link-Adaptive Distributed Coding for Multi-Source Cooperation (2006) (7)
- Network topology identification from imperfect spectral templates (2016) (7)
- Persistent homology approximations of network distances (2015) (7)
- Learning Sample-Efficient Target Reaching for Mobile Robots (2018) (7)
- A dual stochastic DFP algorithm for optimal resource allocation in wireless systems (2013) (7)
- MIMO Graph Filters for Convolutional Neural Networks (2018) (7)
- Space-Time Graph Neural Networks (2021) (7)
- State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards (2021) (6)
- Distributed estimation with ad hoc wireless sensor networks (2006) (6)
- Dynamic games with side information in economic networks (2012) (6)
- Cooperative random access with long PN spreading codes (2005) (6)
- Overlapping clustering of network data using cut metrics (2016) (6)
- Linear network operators using node-variant graph filters (2016) (6)
- Optimal WDM Power Allocation via Deep Learning for Radio on Free Space Optics Systems (2019) (6)
- Distributed quantization-estimation using wireless sensor networks (2005) (6)
- An incremental quasi-Newton method with a local superlinear convergence rate (2017) (6)
- A dynamical systems perspective to convergence rate analysis of proximal algorithms (2017) (6)
- Adaptive communication-constrained deployment of mobile robotic networks (2012) (6)
- Metrics in the space of high order proximity networks (2015) (6)
- Excisive Hierarchical Clustering Methods for Network Data (2016) (5)
- Axiomatic hierarchical clustering for intervals of metric distances (2016) (5)
- Cross-layer optimization of wireless fading ad-hoc networks (2009) (5)
- Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks (2016) (5)
- Learning Connectivity for Data Distribution in Robot Teams (2021) (5)
- Training Stable Graph Neural Networks Through Constrained Learning (2021) (5)
- Linear Quadratic Control with Risk Constraints (2021) (5)
- System architectures for communication-aware multi-robot navigation (2016) (5)
- Learning to coordinate in a beauty contest game (2013) (5)
- Graph Signal Processing of Human Brain Imaging Data (2018) (5)
- Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs (2019) (5)
- Sampling of graph signals: Successive local aggregations at a single node (2015) (5)
- COLLABORATIVE MULTIAGENT REINFORCEMENT LEARNING IN HOMOGENEOUS SWARMS (2018) (5)
- A distributed routing protocol for predictable rates in wireless mesh networksy (2012) (5)
- Regret bounds of a distributed saddle point algorithm (2015) (5)
- Optimal Transmission over a Fading Channel with Imperfect Channel State Information (2011) (5)
- Online Deep Learning in Wireless Communication Systems (2018) (5)
- Inverse Optimal Planning for Air Traffic Control (2019) (5)
- Robot deployment with end-to-end communication constraints (2011) (5)
- An asynchronous Quasi-Newton method for consensus optimization (2016) (5)
- Large Scale Distributed Collaborative Unlabeled Motion Planning With Graph Policy Gradients (2021) (4)
- Diffusion distance for signals supported on networks (2015) (4)
- A Quasi-newton prediction-correction method for decentralized dynamic convex optimization (2016) (4)
- Hierarchical Overlapping Clustering of Network Data Using Cut Metrics (2016) (4)
- Stationary graph processes: Parametric power spectral estimation (2017) (4)
- Locally Adaptive Kernel Estimation Using Sparse Functional Programming (2018) (4)
- Learning pure-strategy Nash equilibria in networked multi-agent systems with uncertainty (2016) (4)
- Safe online navigation of convex potentials in spaces with convex obstacles (2017) (4)
- Convolutional Filtering and Neural Networks with Non Commutative Algebras (2021) (4)
- Pill Image Classification using Machine Learning (2019) (4)
- Decentralized efficient nonparametric stochastic optimization (2017) (4)
- Robust network topology inference (2017) (3)
- A double incremental aggregated gradient method with linear convergence rate for large-scale optimization (2017) (3)
- Decentralized constrained consensus optimization with primal dual splitting projection (2016) (3)
- Communications and Robotics Simulation in UAVs: A Case Study on Aerial Synthetic Aperture Antennas (2021) (3)
- Network Comparison: Embeddings and Interiors (2017) (3)
- Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning (2019) (3)
- Rethinking sketching as sampling: Efficient approximate solution to linear inverse problems (2016) (3)
- Learning Statistically Accurate Resource Allocations in Non-Stationary Wireless Systems (2018) (3)
- Rational consumer behavior models in smart pricing (2015) (3)
- Multiagent Distributed Optimization (2018) (3)
- Opportunistic sensor scheduling in wireless control systems (2014) (3)
- A framework for integrating mobility and routing in mobile communication networks (2011) (3)
- Matrix Completion as Graph Bandlimited Reconstruction (2018) (3)
- Dithering and betweenness centrality in weighted graphs (2014) (2)
- Optimal layered architectures of wireless networks (2008) (2)
- Hierarchical clustering and consensus in trust networks (2013) (2)
- Distributed Fictitious Play for Optimal Behavior of Multi-Agent Systems with Incomplete Information (2016) (2)
- Reconstruction of graph signals: Percolation from a single seeding node (2015) (2)
- Real-Time Pricing with uncertain and heterogeneous consumer preferences (2015) (2)
- Axiomatic hierarchical clustering given intervals of metric distances (2017) (2)
- Learning Connectivity-Maximizing Network Configurations (2021) (2)
- Model Predictive Selection: A Receding Horizon Scheme for Actuator Selection (2019) (2)
- Aggregation sampling of graph signals in the presence of noise (2015) (2)
- Universal bounds for the sampling of graph signals (2017) (2)
- Persistent homology lower bounds on distances in the space of networks (2016) (2)
- Coverage Control in Multi-Robot Systems via Graph Neural Networks (2021) (2)
- Distributed filters for Bayesian network games (2013) (2)
- Decentralized Wireless Resource Allocation with Graph Neural Networks (2020) (2)
- Learning Policies for Markov Decision Processes in Continuous Spaces (2018) (1)
- Introduction to the Issue on Cooperative Signal Processing for Heterogeneous and Multi-Task Wireless Sensor Networks (2017) (1)
- Network optimization with heuristic rational agents (2011) (1)
- A primal-dual Quasi-Newton method for consensus optimization (2017) (1)
- Learning Task Agnostic Sufficiently Accurate Models (2019) (1)
- Training Graph Neural Networks on Growing Stochastic Graphs (2022) (1)
- Partial embedding distance for networks (2017) (1)
- Space-shift sampling of graph signals (2016) (1)
- Discounted integral priority routing for data networks (2014) (1)
- D4L: Decentralized dynamic discriminative dictionary learning (2017) (1)
- Doubly stochastic algorithms for large-scale optimization (2016) (1)
- Information aggregation in a beauty contest game (2014) (1)
- Online learning of optimal strategies in unknown environments (2015) (1)
- Stochastic learning algorithms for optimal design of wireless networks (2010) (1)
- Distributed Routing Algorithms for Wireless Multihop Networks (2007) (1)
- Optimization of Switched Linear Systems Over Non-Stationary Wireless Channels (2018) (1)
- Optimal random access for wireless networks in the presence of fading (2011) (1)
- Decentralized online optimization with heterogeneous data sources (2016) (1)
- Convergence of Bayesian histogram filters for location estimation (2013) (1)
- A data-driven approach to stochastic network optimization (2016) (1)
- Introduction to the IEEE Journal on Selected Topics in Signal Processing and IEEE Transactions on Signal and Information Processing Over Networks Joint Special Issue on Graph Signal Processing (2017) (0)
- Theoretical Foundations of Wireless Networks (2015) (0)
- Multi-task Bias-Variance Trade-off Through Functional Constraints (2022) (0)
- Composable Learning with Sparse Kernel Representations (2018) (0)
- Linear complex-field coding for cooperative networking (2005) (0)
- Deep Convolutional Neural Networks for Multi-Target Tracking: A Transfer Learning Approach (2022) (0)
- A Prediction-Correction Primal-Dual Algorithm for Distributed Optimization (2019) (0)
- Optimal resource allocation in wireless communication and networking (2012) (0)
- Learning over a Decentralized Network Through ADMM (2015) (0)
- Decentralized Online Nonparametric Learning (2018) (0)
- Design Strategies for Sparse Control Of Random Time-Varying NETWORKS (2019) (0)
- Policy Gradient for Continuing Tasks in Discounted Markov Decision Processes (2022) (0)
- Two-Dimensional Signal Processing and Image Denoising (2018) (0)
- The association between Vitamin D deficiency and diabetes mellitus (2009) (0)
- Distributed fictitious play for multi-agent systems with uncertainty (2016) (0)
- Heuristic rational models in social networks (2012) (0)
- Graph-Graphon Filters Approximation Theorem (2020) (0)
- A Newton Method for Faster Navigation in Cluttered Environments (2018) (0)
- A N A GNOSTIC A PPROACH TO F EDERATED L EARNING WITH C LASS I MBALANCE (2022) (0)
- Stationary Processes (2018) (0)
- Layers and layer interfaces in wireless networks (2009) (0)
- CNN ARCHITECTURES FOR GRAPH DATA (2018) (0)
- Cooperative Communications inWireless Networks (2009) (0)
- TSIPN Senior Editorial Board (2015) (0)
- Linköping University Post Print Cooperative Communications in Wireless Networks (2010) (0)
- Distributed estimation of smooth graph power spectral density (2017) (0)
- Online learning of feasible strategies in unknown environments (2015) (0)
- Distributed maximum a posteriori probability estimation for tracking of dynamic systems (2012) (0)
- Modeling Treatment Delays for Patients using Feature Label Pairs in a Time Series (2018) (0)
- Cognitive access algorithms for multiple access channels (2013) (0)
- Introduction to the Cooperative Special Issue on Graph Signal Processing in the IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS and the IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (2017) (0)
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