2 papers
cs.DC2023
Opportunistic Transmission of Distributed Learning Models in Mobile UAVs
Jingxin Li, Xiaolan Liu, Toktam Mahmoodi
In this paper, we propose an opportunistic scheme for the transmission of model updates from Federated Learning (FL) clients to the server, where clients are wireless mobile users.…
cs.LG2023
Distributed Learning in Heterogeneous Environment: federated learning with adaptive aggregation and computation reduction
Jingxin Li, Toktam Mahmoodi, Hak-Keung Lam
Although federated learning has achieved many breakthroughs recently, the heterogeneous nature of the learning environment greatly limits its performance and hinders its real-world…