Angelia Nedic
Orcid: 0000-0001-9365-6321Affiliations:
- Arizona State University, Electrical, Computer, and Energy Engineering, Tempe, USA
- University of Illinois at Urbana-Champaign, USA
According to our database1,
Angelia Nedic
authored at least 200 papers
between 2001 and 2024.
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Bibliography
2024
IEEE Trans. Autom. Control., February, 2024
Distributed constrained optimization algorithms with linear convergence rate over time-varying unbalanced graphs.
Autom., January, 2024
Multi-Agent Resilient Consensus under Intermittent Faulty and Malicious Transmissions (Extended Version).
CoRR, 2024
2023
Geometric Convergence of Distributed Heavy-Ball Nash Equilibrium Algorithm Over Time-Varying Digraphs With Unconstrained Actions.
IEEE Control. Syst. Lett., 2023
Nash Equilibrium Seeking Over Digraphs With Row-Stochastic Matrices and Network-Independent Step-Sizes.
IEEE Control. Syst. Lett., 2023
CoRR, 2023
Projected Push-Pull For Distributed Constrained Optimization Over Time-Varying Directed Graphs (extended version).
CoRR, 2023
CrowdCache: A Decentralized Game-Theoretic Framework for Mobile Edge Content Sharing.
Proceedings of the 21st International Symposium on Modeling and Optimization in Mobile, 2023
Proceedings of the Learning for Dynamics and Control Conference, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 59th Annual Allerton Conference on Communication, 2023
Distributed Stochastic Optimization with Gradient Tracking over Time- Varying Directed Networks.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
2022
Characterizing Trust and Resilience in Distributed Consensus for Cyberphysical Systems.
IEEE Trans. Robotics, 2022
Nonasymptotic Concentration Rates in Cooperative Learning - Part II: Inference on Compact Hypothesis Sets.
IEEE Trans. Control. Netw. Syst., 2022
Nonasymptotic Concentration Rates in Cooperative Learning-Part I: Variational Non-Bayesian Social Learning.
IEEE Trans. Control. Netw. Syst., 2022
Distributed Augmented Lagrangian Method for Link-Based Resource Sharing Problems of Multiagent Systems.
IEEE Trans. Autom. Control., 2022
A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization.
Math. Oper. Res., 2022
CoRR, 2022
Differentially-private Distributed Algorithms for Aggregative Games with Guaranteed Convergence.
CoRR, 2022
Distributed Nash Equilibrium Seeking over Time-Varying Directed Communication Networks.
CoRR, 2022
Resilience to Malicious Activity in Distributed Optimization for Cyberphysical Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
Geometric Convergence of Gradient Play Algorithms for Distributed Nash Equilibrium Seeking.
IEEE Trans. Autom. Control., 2021
IEEE Trans. Autom. Control., 2021
Distributed Generalized Nash Equilibrium Seeking in Aggregative Games on Time-Varying Networks.
IEEE Trans. Autom. Control., 2021
SIAM J. Optim., 2021
Optim. Methods Softw., 2021
Minibatch stochastic subgradient-based projection algorithms for feasibility problems with convex inequalities.
Comput. Optim. Appl., 2021
Multi-competitive viruses over time-varying networks with mutations and human awareness.
Autom., 2021
Proceedings of the IEEE International Symposium on Information Theory, 2021
2020
IEEE/ACM Trans. Netw., 2020
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
Proc. IEEE, 2020
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
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
IEEE Trans. Netw. Sci. Eng., 2019
IEEE Trans. Control. Netw. Syst., 2019
IEEE Trans. Autom. Control., 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
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
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
CoRR, 2018
Annu. Rev. Control. Robotics Auton. Syst., 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
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
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
IEEE Trans. Autom. Control., 2017
IEEE Trans. Autom. Control., 2017
Stochastic Dual Averaging for Decentralized Online Optimization on Time-Varying Communication Graphs.
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
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
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 2017 American Control Conference, 2017
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
Proceedings of the 55th Annual Allerton Conference on Communication, 2017
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
IEEE Trans. Autom. Control., 2016
Online Discrete Optimization in Social Networks in the Presence of Knightian Uncertainty.
Oper. Res., 2016
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
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
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
Proceedings of the 2016 American Control Conference, 2016
Proceedings of the 2016 American Control Conference, 2016
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016
2015
Proceedings of the Encyclopedia of Systems and Control, 2015
IEEE Trans. Autom. Control., 2015
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
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
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
Proceedings of the American Control Conference, 2015
2014
IEEE Trans. Control. Netw. Syst., 2014
Distributed Constrained Optimization by Consensus-Based Primal-Dual Perturbation Method.
IEEE Trans. Autom. Control., 2014
SIAM J. Optim., 2014
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014
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
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the American Control Conference, 2014
2013
Proceedings of the Agent-Based Optimization, 2013
IEEE Trans. Autom. Control., 2013
Regularized Iterative Stochastic Approximation Methods for Stochastic Variational Inequality Problems.
IEEE Trans. Autom. Control., 2013
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
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
Proceedings of the American Control Conference, 2013
Proceedings of the American Control Conference, 2013
Proceedings of the American Control Conference, 2013
2012
IEEE Trans. Autom. Control., 2012
A new class of distributed optimization algorithms: application to regression of distributed data.
Optim. Methods Softw., 2012
Autom., 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
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
IEEE Trans. Autom. Control., 2011
IEEE Trans. Autom. Control., 2011
SIAM J. Optim., 2011
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
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
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
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
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
IEEE Trans. Autom. Control., 2010
J. Optim. Theory Appl., 2010
Proceedings of the Information Theory and Applications Workshop, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
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
Convex nondifferentiable stochastic optimization: A local randomized smoothing technique.
Proceedings of the American Control Conference, 2010
2009
IEEE Trans. Autom. Control., 2009
IEEE Trans. Autom. Control., 2009
SIAM J. Optim., 2009
SIAM J. Optim., 2009
J. Optimization Theory and Applications, 2009
Proceedings of the 2009 IEEE Information Theory Workshop, 2009
Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
Proceedings of the 1st International Conference on Game Theory for Networks, 2009
Proceedings of the 12th International Conference on Information Fusion, 2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2008
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
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
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
Discret. Event Dyn. Syst., 2003
2002
2001
SIAM J. Optim., 2001