93 citations · 375 across the 30 of their papers we have counts for
4 papers · 1 filter
Can Competition Outperform Collaboration? The Role of Misbehaving Agents
Luca Ballotta, Giacomo Como, Jeff S. Shamma +1
We investigate a novel approach to resilient distributed optimization with quadratic costs in a multi-agent system prone to unexpected events that make some agents misbehave. In co…
Self-triggered MPC robust to bounded packet loss via a min-max approach: extended version
Stefan Wildhagen, Matthias Pezzutto, Luca Schenato +1
Networked Control Systems typically come with a limited communication bandwidth and thus require special care when designing the underlying control and triggering law. A method tha…
Competition-Based Resilience in Distributed Quadratic Optimization
Luca Ballotta, Giacomo Como, Jeff S. Shamma +1
This paper proposes a novel approach to resilient distributed optimization with quadratic costs in a networked control system (e.g., wireless sensor network, power grid, robotic te…
SHED: A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing
Nicolò Dal Fabbro, Subhrakanti Dey, Michele Rossi +1
There is a growing interest in the distributed optimization framework that goes under the name of Federated Learning (FL). In particular, much attention is being turned to FL scena…