Angelia Nedic

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 138

Top Venues

CoRR

CDC

IEEE Trans. Autom. Control.

ACC

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Yongqiang Wang, Angelia Nedic
Decentralized Gradient Methods With Time-Varying Uncoordinated Stepsizes: Convergence Analysis and Privacy Design. IEEE Trans. Autom. Control. 69 (8) (2024)
Hongzhe Liu, Wenwu Yu, Wei Xing Zheng, Angelia Nedic, Yanan Zhu
Distributed constrained optimization algorithms with linear convergence rate over time-varying unbalanced graphs. Autom. 159 (2024)
Yongqiang Wang, Angelia Nedic
Differentially Private Distributed Algorithms for Aggregative Games With Guaranteed Convergence. IEEE Trans. Autom. Control. 69 (8) (2024)
Sarper Aydin, Orhan Eren Akgün, Stephanie Gil, Angelia Nedic
Multi-Agent Resilient Consensus under Intermittent Faulty and Malicious Transmissions (Extended Version). CoRR (2024)
Yongqiang Wang, Angelia Nedic
Tailoring Gradient Methods for Differentially Private Distributed Optimization. IEEE Trans. Autom. Control. 69 (2) (2024)
Yongqiang Wang, Angelia Nedic
Robust Constrained Consensus and Inequality-constrained Distributed Optimization with Guaranteed Differential Privacy and Accurate Convergence. CoRR (2024)
Tatiana Tatarenko, Angelia Nedic
Accelerating Distributed Nash Equilibrium Seeking. ECC (2024)
Arif Kerem Dayi, Orhan Eren Akgün, Stephanie Gil, Michal Yemini, Angelia Nedic
Fast Distributed Optimization over Directed Graphs under Malicious Attacks using Trust. CoRR (2024)
Kun Huang, Shi Pu, Angelia Nedic
An Accelerated Distributed Stochastic Gradient Method with Momentum. CoRR (2024)
Yongqiang Wang, Angelia Nedic
Differentially-Private Distributed Optimization with Guaranteed Optimality. CDC (2023)
Orhan Eren Akgün, Arif Kerem Dayi, Stephanie Gil, Angelia Nedic
Projected Push-Pull For Distributed Constrained Optimization Over Time-Varying Directed Graphs (extended version). CoRR (2023)
Duong Thuy Anh Nguyen, Duong Tung Nguyen, Angelia Nedic
Geometric Convergence of Distributed Heavy-Ball Nash Equilibrium Algorithm Over Time-Varying Digraphs With Unconstrained Actions. IEEE Control. Syst. Lett. 7 (2023)
Sina Arefizadeh, Angelia Nedic
Characterization of Potential Games: Application in Aggregative Games. Allerton (2023)
Duong Thuy Anh Nguyen, Mattia Bianchi, Florian Dörfler, Duong Tung Nguyen, Angelia Nedic
Nash equilibrium seeking over digraphs with row-stochastic matrices and network-independent step-sizes. CoRR (2023)
Duong Thuy Anh Nguyen, Jiaming Cheng, Duong Tung Nguyen, Angelia Nedic
CrowdCache: A Decentralized Game-Theoretic Framework for Mobile Edge Content Sharing. WiOpt (2023)
Huan Gao, Yongqiang Wang, Angelia Nedic
Dynamics based privacy preservation in decentralized optimization. Autom. 151 (2023)
Duong Thuy Anh Nguyen, Duong Tung Nguyen, Angelia Nedic
Distributed Stochastic Optimization with Gradient Tracking over Time- Varying Directed Networks. ACSSC (2023)
Stephanie Gil, Michal Yemini, Arsenia Chorti, Angelia Nedic, H. Vincent Poor, Andrea J. Goldsmith
How Physicality Enables Trust: A New Era of Trust-Centered Cyberphysical Systems. CoRR (2023)
Duong Thuy Anh Nguyen, Mattia Bianchi, Florian Dörfler, Duong Tung Nguyen, Angelia Nedic
Nash Equilibrium Seeking Over Digraphs With Row-Stochastic Matrices and Network-Independent Step-Sizes. IEEE Control. Syst. Lett. 7 (2023)
Sina Arefizadeh, Angelia Nedic
A Distributed Algorithm for Aggregative Games on Directed Communication Graphs. CDC (2022)
Afrooz Jalilzadeh, Angelia Nedic, Uday V. Shanbhag, Farzad Yousefian
A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization. Math. Oper. Res. 47 (1) (2022)
César A. Uribe, Alex Olshevsky, Angelia Nedic
Nonasymptotic Concentration Rates in Cooperative Learning-Part I: Variational Non-Bayesian Social Learning. IEEE Trans. Control. Netw. Syst. 9 (3) (2022)
Michal Yemini, Angelia Nedic, Andrea J. Goldsmith, Stephanie Gil
Resilient Distributed Optimization for Multi-Agent Cyberphysical Systems. CoRR (2022)
Orhan Eren Akgün, Arif Kerem Dayi, Stephanie Gil, Angelia Nedic
Learning Trust Over Directed Graphs in Multiagent Systems (extended version). CoRR (2022)
Duong Thuy Anh Nguyen, Duong Tung Nguyen, Angelia Nedic
Distributed Nash Equilibrium Seeking over Time-Varying Directed Communication Networks. CoRR (2022)
Michal Yemini, Angelia Nedic, Stephanie Gil, Andrea J. Goldsmith
Resilience to Malicious Activity in Distributed Optimization for Cyberphysical Systems. CDC (2022)
Yongqiang Wang, Angelia Nedic
Tailoring Gradient Methods for Differentially-Private Distributed Optimization. CoRR (2022)
Wicak Ananduta, Angelia Nedic, Carlos Ocampo-Martinez
Distributed Augmented Lagrangian Method for Link-Based Resource Sharing Problems of Multiagent Systems. IEEE Trans. Autom. Control. 67 (6) (2022)
César A. Uribe, Alex Olshevsky, Angelia Nedic
Nonasymptotic Concentration Rates in Cooperative Learning - Part II: Inference on Compact Hypothesis Sets. IEEE Trans. Control. Netw. Syst. 9 (3) (2022)
Michal Yemini, Angelia Nedic, Andrea J. Goldsmith, Stephanie Gil
Characterizing Trust and Resilience in Distributed Consensus for Cyberphysical Systems. IEEE Trans. Robotics 38 (1) (2022)
Michal Yemini, Angelia Nedic, Andrea Goldsmith, Stephanie Gil
Characterizing Trust and Resilience in Distributed Consensus for Cyberphysical Systems. CoRR (2021)
Tatiana Tatarenko, Wei Shi, Angelia Nedic
Geometric Convergence of Gradient Play Algorithms for Distributed Nash Equilibrium Seeking. IEEE Trans. Autom. Control. 66 (11) (2021)
Ion Necoara, Angelia Nedic
Minibatch stochastic subgradient-based projection algorithms for feasibility problems with convex inequalities. Comput. Optim. Appl. 80 (1) (2021)
César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic
A dual approach for optimal algorithms in distributed optimization over networks. Optim. Methods Softw. 36 (1) (2021)
Shi Pu, Angelia Nedic
Distributed stochastic gradient tracking methods. Math. Program. 187 (1) (2021)
Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic
Push-Pull Gradient Methods for Distributed Optimization in Networks. IEEE Trans. Autom. Control. 66 (1) (2021)
Philip E. Paré, Ji Liu, Carolyn L. Beck, Angelia Nedic, Tamer Basar
Multi-competitive viruses over time-varying networks with mutations and human awareness. Autom. 123 (2021)
Giuseppe Belgioioso, Angelia Nedic, Sergio Grammatico
Distributed Generalized Nash Equilibrium Seeking in Aggregative Games on Time-Varying Networks. IEEE Trans. Autom. Control. 66 (5) (2021)
Parth Thaker, Gautam Dasarathy, Angelia Nedic
On the Sample Complexity and Optimization Landscape for Quadratic Feasibility Problems. CoRR (2020)
Parth K. Thaker, Gautam Dasarathy, Angelia Nedic
On the Sample Complexity and Optimization Landscape for Quadratic Feasibility Problems. ISIT (2020)
Wicak Ananduta, Carlos Ocampo-Martinez, Angelia Nedic
Accelerated Multi-Agent Optimization Method over Stochastic Networks. CDC (2020)
Alexander Rogozin, César A. Uribe, Alexander V. Gasnikov, Nikolay Malkovsky, Angelia Nedic
Optimal Distributed Convex Optimization on Slowly Time-Varying Graphs. IEEE Trans. Control. Netw. Syst. 7 (2) (2020)
Wicak Ananduta, Carlos Ocampo-Martinez, Angelia Nedic
Accelerated Multi-Agent Optimization Method over Stochastic Networks. CoRR (2020)
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
On Stochastic and Deterministic Quasi-Newton Methods for Nonstrongly Convex Optimization: Asymptotic Convergence and Rate Analysis. SIAM J. Optim. 30 (2) (2020)
Hoi-To Wai, Wei Shi, César A. Uribe, Angelia Nedic, Anna Scaglione
Accelerating incremental gradient optimization with curvature information. Comput. Optim. Appl. 76 (2) (2020)
César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic
A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks. ITA (2020)
Nurullah Karakoç, Anna Scaglione, Angelia Nedic, Martin Reisslein
Multi-Layer Decomposition of Network Utility Maximization Problems. IEEE/ACM Trans. Netw. 28 (5) (2020)
Ran Xin, Shi Pu, Angelia Nedic, Usman A. Khan
A General Framework for Decentralized Optimization With First-Order Methods. Proc. IEEE 108 (11) (2020)
Angelia Nedic
Distributed Gradient Methods for Convex Machine Learning Problems in Networks: Distributed Optimization. IEEE Signal Process. Mag. 37 (3) (2020)
Ran Xin, Shi Pu, Angelia Nedic, Usman A. Khan
A general framework for decentralized optimization with first-order methods. CoRR (2020)
Usman A. Khan, Waheed U. Bajwa, Angelia Nedic, Michael G. Rabbat, Ali H. Sayed
Optimization for Data-Driven Learning and Control. Proc. IEEE 108 (11) (2020)
Angelia Nedic, Tatiana Tatarenko
Convergence Rate of a Penalty Method for Strongly Convex Problems with Linear Constraints. CDC (2020)
Shahzad F. Bhatti, Carolyn L. Beck, Angelia Nedic
Data Clustering and Graph Partitioning via Simulated Mixing. IEEE Trans. Netw. Sci. Eng. 6 (3) (2019)
S. Rasoul Etesami, Sadegh Bolouki, Angelia Nedic, Tamer Basar, H. Vincent Poor
Influence of Conformist and Manipulative Behaviors on Public Opinion. IEEE Trans. Control. Netw. Syst. 6 (1) (2019)
Angelia Nedic, Ion Necoara
Random minibatch projection algorithms for convex feasibility problems. CDC (2019)
Ji Liu, Philip E. Paré, Angelia Nedic, Choon Yik Tang, Carolyn L. Beck, Tamer Basar
Analysis and Control of a Continuous-Time Bi-Virus Model. IEEE Trans. Autom. Control. 64 (12) (2019)
Giuseppe Belgioioso, Angelia Nedic, Sergio Grammatico
Distributed generalized Nash equilibrium seeking in aggregative games under partial-decision information via dynamic tracking. CDC (2019)
Nikhil Ravi, Anna Scaglione, Angelia Nedic
A Case of Distributed Optimization in Adversarial Environment. ICASSP (2019)
Craig Wilson, Venugopal V. Veeravalli, Angelia Nedic
Adaptive Sequential Stochastic Optimization. IEEE Trans. Autom. Control. 64 (2) (2019)
Angelia Nedic, Alex Olshevsky, Wei Shi
Improved Convergence Rates for Distributed Resource Allocation. CDC (2018)
Shi Pu, Angelia Nedic
Distributed Stochastic Gradient Tracking Methods. CoRR (2018)
Tatiana Tatarenko, Wei Shi, Angelia Nedic
Accelerated Gradient Play Algorithm for Distributed Nash Equilibrium Seeking. CDC (2018)
Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic
A Push-Pull Gradient Method for Distributed Optimization in Networks. CDC (2018)
Angelia Nedic, Ji Liu
Distributed Optimization for Control. Annu. Rev. Control. Robotics Auton. Syst. 1 (2018)
Philip E. Pare, Carolyn L. Beck, Angelia Nedic
Epidemic Processes Over Time-Varying Networks. IEEE Trans. Control. Netw. Syst. 5 (3) (2018)
Ji Liu, Mengbin Ye, Brian D. O. Anderson, Tamer Basar, Angelia Nedic
Discrete-Time Polar Opinion Dynamics with Heterogeneous Individuals. CDC (2018)
Cesar A. Uribe, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Angelia Nedic
Distributed Computation of Wasserstein Barycenters Over Networks. CDC (2018)
Shi Pu, Angelia Nedic
A Distributed Stochastic Gradient Tracking Method. CDC (2018)
Nurullah Karakoç, Anna Scaglione, Angelia Nedic
Multi-layer Decomposition of Optimal Resource Sharing Problems. CDC (2018)
César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic
A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks. CoRR (2018)
Pavel E. Dvurechensky, Darina Dvinskikh, Alexander V. Gasnikov, César A. Uribe, Angelia Nedic
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters. CoRR (2018)
Hoi-To Wai, Nikolaos M. Freris, Angelia Nedic, Anna Scaglione
SUCAG: Stochastic Unbiased Curvature-aided Gradient Method for Distributed Optimization. CDC (2018)
Shi Pu, Wei Shi, Jinming Xu, Angelia Nedic
Push-Pull Gradient Methods for Distributed Optimization in Networks. CoRR (2018)
Soomin Lee, Angelia Nedic, Maxim Raginsky
Coordinate Dual Averaging for Decentralized Online Optimization With Nonseparable Global Objectives. IEEE Trans. Control. Netw. Syst. 5 (1) (2018)
Sissi Xiaoxiao Wu, Hoi-To Wai, Anna Scaglione, Angelia Nedic, Amir Leshem
Data Injection Attack on Decentralized Optimization. ICASSP (2018)
Angelia Nedic, Alex Olshevsky, César A. Uribe
Graph-Theoretic Analysis of Belief System Dynamics under Logic Constraints. CoRR (2018)
César A. Uribe, Darina Dvinskikh, Pavel E. Dvurechensky, Alexander V. Gasnikov, Angelia Nedic
Distributed Computation of Wasserstein Barycenters over Networks. CoRR (2018)
Angelia Nedic, Alex Olshevsky, Michael G. Rabbat
Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization. Proc. IEEE 106 (5) (2018)
Afrooz Jalilzadeh, Angelia Nedic, Uday V. Shanbhag, Farzad Yousefian
A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization. CDC (2018)
Shi Pu, Angelia Nedic
A Distributed Stochastic Gradient Tracking Method. CoRR (2018)
Angelia Nedic, Ji Liu
On Convergence Rate of Weighted-Averaging Dynamics for Consensus Problems. IEEE Trans. Autom. Control. 62 (2) (2017)
Angelia Nedic, Alex Olshevsky, Wei Shi
Improved Convergence Rates for Distributed Resource Allocation. CoRR (2017)
César A. Uribe, Soomin Lee, Alexander V. Gasnikov, Angelia Nedic
Optimal Algorithms for Distributed Optimization. CoRR (2017)
Ji Liu, Philip E. Pare, Angelia Nedic, Carolyn L. Beck, Tamer Basar
On a continuous-time multi-group bi-virus model with human awareness. CDC (2017)
Ji Liu, Yang Liu, Angelia Nedic, Tamer Basar
An approach to distributed parametric learning with streaming data. CDC (2017)
Matthew T. Hale, Angelia Nedic, Magnus Egerstedt
Asynchronous Multiagent Primal-Dual Optimization. IEEE Trans. Autom. Control. 62 (9) (2017)
Angelia Nedic, Alex Olshevsky, César A. Uribe
Distributed Learning for Cooperative Inference. CoRR (2017)
Hoi-To Wai, Wei Shi, Angelia Nedic, Anna Scaglione
Curvature-aided Incremental Aggregated Gradient Method. CoRR (2017)
Philip E. Pare, Ji Liu, Carolyn L. Beck, Angelia Nedic, Tamer Basar
Multi-competitive viruses over static and time-varying networks. ACC (2017)
Kobi Cohen, Angelia Nedic, R. Srikant
On Projected Stochastic Gradient Descent Algorithm with Weighted Averaging for Least Squares Regression. IEEE Trans. Autom. Control. 62 (11) (2017)
Angelia Nedic, Alex Olshevsky, Michael G. Rabbat
Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization. CoRR (2017)
Sadegh Bolouki, Donya Ghavidel Dobakhshari, Tamer Basar, Vijay Gupta, Angelia Nedic
Applications of group testing to security decision-making in networks. CDC (2017)
Soomin Lee, Angelia Nedic, Maxim Raginsky
Stochastic Dual Averaging for Decentralized Online Optimization on Time-Varying Communication Graphs. IEEE Trans. Autom. Control. 62 (12) (2017)
Angelia Nedic, Alex Olshevsky, Wei Shi
Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs. SIAM J. Optim. 27 (4) (2017)
Angelia Nedic, Alex Olshevsky, Cesar A. Uribe
Fast Convergence Rates for Distributed Non-Bayesian Learning. IEEE Trans. Autom. Control. 62 (11) (2017)
Angelia Nedic, Tatiana Tatarenko
On stochastic proximal-point method for convex-composite optimization. Allerton (2017)
Ji Liu, Daniel Fullmer, Angelia Nedic, Tamer Basar, A. Stephen Morse
A distributed algorithm for computing a common fixed point of a family of strongly quasi-nonexpansive maps. ACC (2017)
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
On smoothing, regularization, and averaging in stochastic approximation methods for stochastic variational inequality problems. Math. Program. 165 (1) (2017)
Angelia Nedic, Alex Olshevsky, Wei Shi, Cesar A. Uribe
Geometrically convergent distributed optimization with uncoordinated step-sizes. ACC (2017)
Ji Liu, Mengbin Ye, Brian D. O. Anderson, Tamer Basar, Angelia Nedic
Discrete-Time Polar Opinion Dynamics with Susceptibility. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Angelia Nedic