10 papers
Communication-Efficient Distributed Learning with Differential Privacy
Xiaoxing Ren, Yuwen Ma, Nicola Bastianello +3
We address nonconvex learning problems over undirected networks. In particular, we focus on the challenge of designing an algorithm that is both communication-efficient and that gu…
A Functional Learning Approach for Team-Optimal Traffic Coordination
Weihao Sun, Gehui Xu, Alessio Moreschini +2
In this paper, we develop a kernel-based policy iteration functional learning framework for computing team-optimal strategies in traffic coordination problems. We consider a multi-…
Adaptive Mitigation of Insider Threats via Off-Policy Learning
Gehui Xu, Kaiwen Chen, Zhong-Ping Jiang +2
An insider is a team member who covertly deviates from the team's optimal collaborative strategy to pursue a private objective while still appearing cooperative. Such an insider ma…
Communication-Efficient Stochastic Distributed Learning
Xiaoxing Ren, Nicola Bastianello, Karl H. Johansson +1
We address distributed learning problems, both nonconvex and convex, over undirected networks. In particular, we design a novel algorithm based on the distributed Alternating Direc…
Jointly Computation- and Communication-Efficient Distributed Learning
Xiaoxing Ren, Nicola Bastianello, Karl H. Johansson +1
We address distributed learning problems over undirected networks. Specifically, we focus on designing a novel ADMM-based algorithm that is jointly computation- and communication-e…
Game-Theoretic Learning-Based Mitigation of Insider Threats
Gehui Xu, Kaiwen Chen, Thomas Parisini +1
An insider is defined as a team member who covertly deviates from the team's optimal collaborative control strategy in pursuit of a private objective, while maintaining an outward…