activity
20132026
most citedDecentralize and Randomize: Faster Algorithm for Wasserstein Barycenters

21 citations · 69 across the 11 of their papers we have counts for

collaborators

13 papers

cs.LG2026

Distance-Aware Muon: Adaptive Step Scaling for Normalized Optimization

Yury Demidovich, Abhishek Chakraborty, Grigory Malinovsky +2

Muon and related normalized optimizers decouple the choice of update direction from the choice of step scale, but their practical performance remains sensitive to the scale of the…

math.OC2021★ 2 cited

Characterizing Trust and Resilience in Distributed Consensus for Cyberphysical Systems

Michal Yemini, Angelia Nedić, Andrea Goldsmith +1

This work considers the problem of resilient consensus where stochastic values of trust between agents are available. Specifically, we derive a unified mathematical framework to ch…

math.OC2021★ 12 cited

Distributed Augmented Lagrangian Method for Link-Based Resource Sharing Problems of Multi-Agent Systems

Wicak Ananduta, Angelia Nedić, Carlos Ocampo-Martinez

A multi-agent optimization problem motivated by the management of energy systems is discussed. The associated cost function is separable and convex although not necessarily strongl…

cs.LG2020★ 2 cited

A general framework for decentralized optimization with first-order methods

Ran Xin, Shi Pu, Angelia Nedić +1

Decentralized optimization to minimize a finite sum of functions over a network of nodes has been a significant focus within control and signal processing research due to its natur…

math.OC2020

Accelerated Multi-Agent Optimization Method over Stochastic Networks

Wicak Ananduta, Carlos Ocampo-Martinez, Angelia Nedić

We propose a distributed method to solve a multi-agent optimization problem with strongly convex cost function and equality coupling constraints. The method is based on Nesterov's…

eess.SP2020★ 3 cited

On the Sample Complexity and Optimization Landscape for Quadratic Feasibility Problems

Parth Thaker, Gautam Dasarathy, Angelia Nedić

We consider the problem of recovering a complex vector from quadratic measurements . This pro…