2 papers
cs.LG2024
Boosting Fairness and Robustness in Over-the-Air Federated Learning
Halil Yigit Oksuz, Fabio Molinari, Henning Sprekeler +1
Over-the-Air Computation is a beyond-5G communication strategy that has recently been shown to be useful for the decentralized training of machine learning models due to its effici…
eess.SY2024
Exploiting Over-The-Air Consensus for Collision Avoidance and Formation Control in Multi-Agent Systems
Michael Epp, Fabio Molinari, Joerg Raisch
This paper introduces a distributed control method for multi-agent robotic systems employing Over the Air Consensus (OtA-Consensus). Designed for agents with decoupled single-integ…