Angelia Nedić | DeepAI

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Ji Liu
135 publications
Tamer Basar
67 publications
Hoi-To Wai
34 publications
Yongqiang Wang
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César A. Uribe
31 publications
Wei Shi
27 publications
Andrea J. Goldsmith
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Gautam Dasarathy
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Alexander Gasnikov
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Andrea Goldsmith
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Usman A. Khan
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∙ 09/14/2023

Nash equilibrium seeking over digraphs with row-stochastic matrices and network-independent step-sizes

In this paper, we address the challenge of Nash equilibrium (NE) seeking...

0 Duong Thuy Anh Nguyen, et al. ∙

∙ 12/05/2022

Learning Trust Over Directed Graphs in Multiagent Systems (extended version)

We address the problem of learning the legitimacy of other agents in a m...

0 Orhan Eren Akgün, et al. ∙

∙ 12/05/2022

Resilient Distributed Optimization for Multi-Agent Cyberphysical Systems

Enhancing resilience in distributed networks in the face of malicious ag...

0 Michal Yemini, et al. ∙

∙ 02/02/2022

Tailoring Gradient Methods for Differentially-Private Distributed Optimization

Decentralized optimization is gaining increased traction due to its wide...

0 Yongqiang Wang, et al. ∙

∙ 01/07/2022

Distributed Nash Equilibrium Seeking over Time-Varying Directed Communication Networks

We study distributed algorithms for finding a Nash equilibrium (NE) in a...

0 Duong Thuy Anh Nguyen, et al. ∙

∙ 03/09/2021

Characterizing Trust and Resilience in Distributed Consensus for Cyberphysical Systems

This work considers the problem of resilient consensus where stochastic ...

0 Michal Yemini, et al. ∙

∙ 09/12/2020

A general framework for decentralized optimization with first-order methods

Decentralized optimization to minimize a finite sum of functions over a ...

0 Ran Xin, et al. ∙

∙ 09/08/2020

Accelerated Multi-Agent Optimization Method over Stochastic Networks

We propose a distributed method to solve a multi-agent optimization prob...

0 Wicak Ananduta, et al. ∙

∙ 02/04/2020

On the Sample Complexity and Optimization Landscape for Quadratic Feasibility Problems

We consider the problem of recovering a complex vector x∈C^n from m quad...

5 Parth Thaker, et al. ∙

∙ 10/15/2018

Push-Pull Gradient Methods for Distributed Optimization in Networks

In this paper, we focus on solving a distributed convex optimization pro...

0 Shi Pu, et al. ∙

∙ 10/04/2018

Graph-Theoretic Analysis of Belief System Dynamics under Logic Constraints

Opinion formation cannot be modeled solely as an ideological deduction f...

0 Angelia Nedić, et al. ∙

∙ 09/03/2018

A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks

We study the optimal convergence rates for distributed convex optimizati...

0 César A. Uribe, et al. ∙

∙ 06/11/2018

Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters

We study the problem of decentralized distributed computation of a discr...

0 Pavel Dvurechensky, et al. ∙

∙ 05/25/2018

Distributed Stochastic Gradient Tracking Methods

In this paper, we study the problem of distributed multi-agent optimizat...

0 Shi Pu, et al. ∙

∙ 03/22/2018

SUCAG: Stochastic Unbiased Curvature-aided Gradient Method for Distributed Optimization

We propose and analyze a new stochastic gradient method, which we call S...

0 Hoi-To Wai, et al. ∙

∙ 03/21/2018

A Distributed Stochastic Gradient Tracking Method

In this paper, we study the problem of distributed multi-agent optimizat...

0 Shi Pu, et al. ∙

∙ 03/08/2018

Distributed Computation of Wasserstein Barycenters over Networks

We propose a new class-optimal algorithm for the distributed computation...

0 César A. Uribe, et al. ∙

∙ 12/01/2017

Optimal Algorithms for Distributed Optimization

In this paper, we study the optimal convergence rate for distributed con...

0 César A. Uribe, et al. ∙

∙ 10/24/2017

Curvature-aided Incremental Aggregated Gradient Method

We propose a new algorithm for finite sum optimization which we call the...

0 Hoi-To Wai, et al. ∙

∙ 09/26/2017

Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization

In decentralized optimization, nodes cooperate to minimize an overall ob...

0 Angelia Nedić, et al. ∙

∙ 09/21/2017

Discrete-Time Polar Opinion Dynamics with Susceptibility

This paper considers a discrete-time opinion dynamics model in which eac...

0 Ji Liu, et al. ∙

∙ 06/16/2017

Improved Convergence Rates for Distributed Resource Allocation

In this paper, we develop a class of decentralized algorithms for solvin...

0 Angelia Nedić, et al. ∙

∙ 04/10/2017

Distributed Learning for Cooperative Inference

We study the problem of cooperative inference where a group of agents in...

0 Angelia Nedić, et al. ∙

∙ 09/23/2016

A Tutorial on Distributed (Non-Bayesian) Learning: Problem, Algorithms and Results

We overview some results on distributed learning with focus on a family ...

0 Angelia Nedić, et al. ∙

∙ 09/19/2016

Geometrically Convergent Distributed Optimization with Uncoordinated Step-Sizes

A recent algorithmic family for distributed optimization, DIGing's, have...

0 Angelia Nedić, et al. ∙

∙ 05/06/2016

Distributed Learning with Infinitely Many Hypotheses

We consider a distributed learning setup where a network of agents seque...

0 Angelia Nedić, et al. ∙

∙ 03/15/2016

Data Clustering and Graph Partitioning via Simulated Mixing

Spectral clustering approaches have led to well-accepted algorithms for ...

0 Shahzad Bhatti, et al. ∙

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