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cs.LG2024
Maze Discovery using Multiple Robots via Federated Learning
Kalpana Ranasinghe, H. P. Madushanka, Rafaela Scaciota +2
This work presents a use case of federated learning (FL) applied to discovering a maze with LiDAR sensors-equipped robots. Goal here is to train classification models to accurately…
cs.LG2023
Federated Learning Games for Reconfigurable Intelligent Surfaces via Causal Representations
Charbel Bou Chaaya, Sumudu Samarakoon, Mehdi Bennis
In this paper, we investigate the problem of robust Reconfigurable Intelligent Surface (RIS) phase-shifts configuration over heterogeneous communication environments. The problem i…