753 citations · 5.3k across the 110 of their papers we have counts for
139 papers
Causal Influences over Social Learning Networks
Mert Kayaalp, Ali H. Sayed
This paper investigates causal influences between agents linked by a social graph and interacting over time. In particular, the work examines the dynamics of social learning models…
Graph Exploration for Effective Multi-agent Q-Learning
Ainur Zhaikhan, Ali H. Sayed
This paper proposes an exploration technique for multi-agent reinforcement learning (MARL) with graph-based communication among agents. We assume the individual rewards received by…
Compressed Regression over Adaptive Networks
Marco Carpentiero, Vincenzo Matta, Ali H. Sayed
In this work we derive the performance achievable by a network of distributed agents that solve, adaptively and in the presence of communication constraints, a regression problem.…
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…
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…
On the Fusion Strategies for Federated Decision Making
Mert Kayaalp, Yunus Inan, Visa Koivunen +2
We consider the problem of information aggregation in federated decision making, where a group of agents collaborate to infer the underlying state of nature without sharing their p…