Angelia Nedic

According to our database1, Angelia Nedic authored at least 170 papers between 2001 and 2021.

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Bibliography

2021
Push-Pull Gradient Methods for Distributed Optimization in Networks.
IEEE Trans. Autom. Control., 2021

A dual approach for optimal algorithms in distributed optimization over networks.
Optim. Methods Softw., 2021

Multi-competitive viruses over time-varying networks with mutations and human awareness.
Autom., 2021

2020
Multi-Layer Decomposition of Network Utility Maximization Problems.
IEEE/ACM Trans. Netw., 2020

Optimal Distributed Convex Optimization on Slowly Time-Varying Graphs.
IEEE Trans. Control. Netw. Syst., 2020

Distributed Gradient Methods for Convex Machine Learning Problems in Networks: Distributed Optimization.
IEEE Signal Process. Mag., 2020

On Stochastic and Deterministic Quasi-Newton Methods for Nonstrongly Convex Optimization: Asymptotic Convergence and Rate Analysis.
SIAM J. Optim., 2020

A General Framework for Decentralized Optimization With First-Order Methods.
Proc. IEEE, 2020

Optimization for Data-Driven Learning and Control.
Proc. IEEE, 2020

Support Estimation with Sampling Artifacts and Errors.
CoRR, 2020

Accelerating incremental gradient optimization with curvature information.
Comput. Optim. Appl., 2020

On the Sample Complexity and Optimization Landscape for Quadratic Feasibility Problems.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Convergence Rate of a Penalty Method for Strongly Convex Problems with Linear Constraints.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Accelerated Multi-Agent Optimization Method over Stochastic Networks.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Data Clustering and Graph Partitioning via Simulated Mixing.
IEEE Trans. Netw. Sci. Eng., 2019

Influence of Conformist and Manipulative Behaviors on Public Opinion.
IEEE Trans. Control. Netw. Syst., 2019

Adaptive Sequential Stochastic Optimization.
IEEE Trans. Autom. Control., 2019

Analysis and Control of a Continuous-Time Bi-Virus Model.
IEEE Trans. Autom. Control., 2019

A Case of Distributed Optimization in Adversarial Environment.
Proceedings of the IEEE International Conference on Acoustics, 2019

Random minibatch projection algorithms for convex feasibility problems.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Distributed generalized Nash equilibrium seeking in aggregative games under partial-decision information via dynamic tracking.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Epidemic Processes Over Time-Varying Networks.
IEEE Trans. Control. Netw. Syst., 2018

Coordinate Dual Averaging for Decentralized Online Optimization With Nonseparable Global Objectives.
IEEE Trans. Control. Netw. Syst., 2018

Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization.
Proc. IEEE, 2018

Graph-Theoretic Analysis of Belief System Dynamics under Logic Constraints.
CoRR, 2018

Distributed Stochastic Gradient Tracking Methods.
CoRR, 2018

Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Data Injection Attack on Decentralized Optimization.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

SUCAG: Stochastic Unbiased Curvature-aided Gradient Method for Distributed Optimization.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Distributed Computation of Wasserstein Barycenters Over Networks.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Accelerated Gradient Play Algorithm for Distributed Nash Equilibrium Seeking.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Push-Pull Gradient Method for Distributed Optimization in Networks.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Distributed Stochastic Gradient Tracking Method.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Improved Convergence Rates for Distributed Resource Allocation.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Multi-layer Decomposition of Optimal Resource Sharing Problems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Discrete-Time Polar Opinion Dynamics with Heterogeneous Individuals.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Fast Convergence Rates for Distributed Non-Bayesian Learning.
IEEE Trans. Autom. Control., 2017

On Convergence Rate of Weighted-Averaging Dynamics for Consensus Problems.
IEEE Trans. Autom. Control., 2017

Stochastic Dual Averaging for Decentralized Online Optimization on Time-Varying Communication Graphs.
IEEE Trans. Autom. Control., 2017

Asynchronous Multiagent Primal-Dual Optimization.
IEEE Trans. Autom. Control., 2017

On Projected Stochastic Gradient Descent Algorithm with Weighted Averaging for Least Squares Regression.
IEEE Trans. Autom. Control., 2017

Distributed Learning Algorithms for Spectrum Sharing in Spatial Random Access Wireless Networks.
IEEE Trans. Autom. Control., 2017

Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs.
SIAM J. Optim., 2017

On smoothing, regularization, and averaging in stochastic approximation methods for stochastic variational inequality problems.
Math. Program., 2017

Optimal Algorithms for Distributed Optimization.
CoRR, 2017

Discrete-Time Polar Opinion Dynamics with Susceptibility.
CoRR, 2017

Distributed Learning for Cooperative Inference.
CoRR, 2017

Exponential convergence of a distributed algorithm for solving linear algebraic equations.
Autom., 2017

A smoothing stochastic quasi-newton method for non-lipschitzian stochastic optimization problems.
Proceedings of the 2017 Winter Simulation Conference, 2017

An approach to distributed parametric learning with streaming data.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Applications of group testing to security decision-making in networks.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

On a continuous-time multi-group bi-virus model with human awareness.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Multi-competitive viruses over static and time-varying networks.
Proceedings of the 2017 American Control Conference, 2017

Geometrically convergent distributed optimization with uncoordinated step-sizes.
Proceedings of the 2017 American Control Conference, 2017

A distributed algorithm for computing a common fixed point of a family of strongly quasi-nonexpansive maps.
Proceedings of the 2017 American Control Conference, 2017

Curvature-aided incremental aggregated gradient method.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

On stochastic proximal-point method for convex-composite optimization.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
Self-Tuned Stochastic Approximation Schemes for Non-Lipschitzian Stochastic Multi-User Optimization and Nash Games.
IEEE Trans. Autom. Control., 2016

Stochastic Gradient-Push for Strongly Convex Functions on Time-Varying Directed Graphs.
IEEE Trans. Autom. Control., 2016

Asynchronous Gossip-Based Random Projection Algorithms Over Networks.
IEEE Trans. Autom. Control., 2016

Online Discrete Optimization in Social Networks in the Presence of Knightian Uncertainty.
Oper. Res., 2016

Distributed Algorithms for Aggregative Games on Graphs.
Oper. Res., 2016

Linearly convergent decentralized consensus optimization over directed networks.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Stochastic quasi-Newton methods for non-strongly convex problems: Convergence and rate analysis.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A geometrically convergent method for distributed optimization over time-varying graphs.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A tutorial on distributed (non-Bayesian) learning: Problem, algorithms and results.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Distributed learning with infinitely many hypotheses.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Conformity versus manipulation in reputation systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Large scale data clustering and graph partitioning via simulated mixing.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

On the analysis of a continuous-time bi-virus model.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Input-output stability of linear consensus processes.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Network independent rates in distributed learning.
Proceedings of the 2016 American Control Conference, 2016

Generalization of accelerated successive projection method for convex sets intersection problems.
Proceedings of the 2016 American Control Conference, 2016

On the steady-state range of averaging dynamics.
Proceedings of the 2016 American Control Conference, 2016

A continuous-time distributed algorithm for solving linear equations.
Proceedings of the 2016 American Control Conference, 2016

Distributed Gaussian learning over time-varying directed graphs.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Distributed Optimization.
Proceedings of the Encyclopedia of Systems and Control, 2015

Distributed Optimization Over Time-Varying Directed Graphs.
IEEE Trans. Autom. Control., 2015

Convergence Rate of Distributed Averaging Dynamics and Optimization in Networks.
Found. Trends Syst. Control., 2015

Distributed learning algorithms for spectrum sharing in spatial random access networks.
Proceedings of the 13th International Symposium on Modeling and Optimization in Mobile, 2015

A fully distributed dual gradient method with linear convergence for large-scale separable convex problems.
Proceedings of the 14th European Control Conference, 2015

Stability analysis and control of virus spread over time-varying networks.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Distributed stochastic optimization under imperfect information.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Cloud-based centralized/decentralized multi-agent optimization with communication delays.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Nonasymptotic convergence rates for cooperative learning over time-varying directed graphs.
Proceedings of the American Control Conference, 2015

Decentralized online optimization with global objectives and local communication.
Proceedings of the American Control Conference, 2015

Foreword.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
An O(1/k) Gradient Method for Network Resource Allocation Problems.
IEEE Trans. Control. Netw. Syst., 2014

Product of Random Stochastic Matrices.
IEEE Trans. Autom. Control., 2014

Distributed Constrained Optimization by Consensus-Based Primal-Dual Perturbation Method.
IEEE Trans. Autom. Control., 2014

On Stochastic Subgradient Mirror-Descent Algorithm with Weighted Averaging.
SIAM J. Optim., 2014

LP-relaxation based distributed algorithms for scheduling in wireless networks.
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

A Lyapunov approach to discrete-time linear consensus.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Optimal robust smoothing extragradient algorithms for stochastic variational inequality problems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Dynamic stochastic optimization.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Random Block-Coordinate Gradient Projection Algorithms.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Complex constrained consensus.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Stability of a distributed algorithm for solving linear algebraic equations.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Internal stability of linear consensus processes.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Online discrete optimization in social networks.
Proceedings of the American Control Conference, 2014

2013
Distributed Bregman-Distance Algorithms for Min-Max Optimization.
Proceedings of the Agent-Based Optimization, 2013

Hybrid Noncoherent Network Coding.
IEEE Trans. Inf. Theory, 2013

Dynamic Coalitional TU Games: Distributed Bargaining Among Players' Neighbors.
IEEE Trans. Autom. Control., 2013

Regularized Iterative Stochastic Approximation Methods for Stochastic Variational Inequality Problems.
IEEE Trans. Autom. Control., 2013

Distributed Random Projection Algorithm for Convex Optimization.
IEEE J. Sel. Top. Signal Process., 2013

A regularized smoothing stochastic approximation (RSSA) algorithm for stochastic variational inequality problems.
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

Distributed optimization of strongly convex functions on directed time-varying graphs.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Distributed mini-batch random projection algorithms for reduced communication overhead.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Distributed sparse regression by consensus-based primal-dual perturbation optimization.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Gossip-based random projection algorithm for distributed optimization: Error bound.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A distributed adaptive steplength stochastic approximation method for monotone stochastic Nash Games.
Proceedings of the American Control Conference, 2013

A general framework for distributed vote aggregation.
Proceedings of the American Control Conference, 2013

Epoch gradient descent for smoothed hinge-loss linear SVMs.
Proceedings of the American Control Conference, 2013

Termination time of multidimensional Hegselmann-Krause opinion dynamics.
Proceedings of the American Control Conference, 2013

2012
On Approximations and Ergodicity Classes in Random Chains.
IEEE Trans. Autom. Control., 2012

A new class of distributed optimization algorithms: application to regression of distributed data.
Optim. Methods Softw., 2012

On stochastic gradient and subgradient methods with adaptive steplength sequences.
Autom., 2012

On backward product of stochastic matrices.
Autom., 2012

On averaging dynamics in general state spaces.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Multi-dimensional Hegselmann-Krause dynamics.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

DrSVM: Distributed random projection algorithms for SVMs.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

A gossip algorithm for aggregative games on graphs.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Convergence properties of normalized random incremental gradient algorithms for least-squares source localization.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
On Ergodicity, Infinite Flow, and Consensus in Random Models.
IEEE Trans. Autom. Control., 2011

Asynchronous Broadcast-Based Convex Optimization Over a Network.
IEEE Trans. Autom. Control., 2011

Multiuser Optimization: Distributed Algorithms and Error Analysis.
SIAM J. Optim., 2011

Random algorithms for convex minimization problems.
Math. Program., 2011

Distributed Asynchronous Constrained Stochastic Optimization.
IEEE J. Sel. Top. Signal Process., 2011

A regularized adaptive steplength stochastic approximation scheme for monotone stochastic variational inequalities.
Proceedings of the Winter Simulation Conference 2011, 2011

Distributed min-max optimization in networks.
Proceedings of the 17th International Conference on Digital Signal Processing, 2011

Single timescale stochastic approximation for stochastic Nash games in cognitive radio systems.
Proceedings of the 17th International Conference on Digital Signal Processing, 2011

Alternative characterization of ergodicity for doubly stochastic chains.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

On existence of a quadratic comparison function for random weighted averaging dynamics and its implications.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Constrained consensus for bargaining in dynamic coalitional TU games.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Discrete-time opinion dynamics.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Distributed and Recursive Parameter Estimation in Parametrized Linear State-Space Models.
IEEE Trans. Autom. Control., 2010

Constrained Consensus and Optimization in Multi-Agent Networks.
IEEE Trans. Autom. Control., 2010

The effect of deterministic noise in subgradient methods.
Math. Program., 2010

Distributed Stochastic Subgradient Projection Algorithms for Convex Optimization.
J. Optim. Theory Appl., 2010

Convergence rate for consensus with delays.
J. Glob. Optim., 2010

Asynchronous stochastic convex optimization over random networks: Error bounds.
Proceedings of the Information Theory and Applications Workshop, 2010

When infinite flow is sufficient for ergodicity.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Approximation and limiting behavior of random models.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Distributed constrained optimization over noisy networks.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Random projection algorithms for convex set intersection problems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Single timescale regularized stochastic approximation schemes for monotone Nash games under uncertainty.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
On Distributed Averaging Algorithms and Quantization Effects.
IEEE Trans. Autom. Control., 2009

Distributed Subgradient Methods for Multi-Agent Optimization.
IEEE Trans. Autom. Control., 2009

Incremental Stochastic Subgradient Algorithms for Convex Optimization.
SIAM J. Optim., 2009

Approximate Primal Solutions and Rate Analysis for Dual Subgradient Methods.
SIAM J. Optim., 2009

Subgradient Methods for Saddle-Point Problems.
J. Optimization Theory and Applications, 2009

Approximately optimal utility maximization.
Proceedings of the 2009 IEEE Information Theory Workshop, 2009

Distributed Non-Autonomous Power Control through Distributed Convex Optimization.
Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009

Distributed subgradient projection algorithm for convex optimization.
Proceedings of the IEEE International Conference on Acoustics, 2009

Asynchronous gossip algorithms for stochastic optimization.
Proceedings of the 1st International Conference on Game Theory for Networks, 2009

Distributed consensus over network with noisy links.
Proceedings of the 12th International Conference on Information Fusion, 2009

Asynchronous gossip algorithms for stochastic optimization.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Distributed multiuser optimization: Algorithms and error analysis.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Separation of Nonconvex Sets with General Augmenting Functions.
Math. Oper. Res., 2008

A geometric framework for nonconvex optimization duality using augmented lagrangian functions.
J. Glob. Optim., 2008

Incremental recursive prediction error algorithm for parameter estimation in sensor networks.
Proceedings of the 11th International Conference on Information Fusion, 2008

Subgradient methods in network resource allocation: Rate analysis.
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

Distributed subgradient methods and quantization effects.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Rate of Convergence for Consensus with Delays.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Convergence of rule-of-thumb learning rules in social networks.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
On the rate of convergence of distributed subgradient methods for multi-agent optimization.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2003
Least Squares Policy Evaluation Algorithms with Linear Function Approximation.
Discret. Event Dyn. Syst., 2003

2002
Subgradient methods for convex minimization.
PhD thesis, 2002

2001
Incremental Subgradient Methods for Nondifferentiable Optimization.
SIAM J. Optim., 2001


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