1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2024
Asynchronous Diffusion Learning with Agent Subsampling and Local Updates
Elsa Rizk, Kun Yuan, Ali H. Sayed
In this work, we examine a network of agents operating asynchronously, aiming to discover an ideal global model that suits individual local datasets. Our assumption is that each ag…
cs.LG2023
Multi-Agent Adversarial Training Using Diffusion Learning
Ying Cao, Elsa Rizk, Stefan Vlaski +1
This work focuses on adversarial learning over graphs. We propose a general adversarial training framework for multi-agent systems using diffusion learning. We analyze the converge…
cs.LG2023★ 1 cited
Enforcing Privacy in Distributed Learning with Performance Guarantees
Elsa Rizk, Stefan Vlaski, Ali H. Sayed
We study the privatization of distributed learning and optimization strategies. We focus on differential privacy schemes and study their effect on performance. We show that the pop…