7 citations · 12 across the 10 of their papers we have counts for
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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
Decentralized Adversarial Training over Graphs
Ying Cao, Elsa Rizk, Stefan Vlaski +1
The vulnerability of machine learning models to adversarial attacks has been attracting considerable attention in recent years. Most existing studies focus on the behavior of stand…
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…