2 papers
cs.LG2026
Split Federated Learning Architectures for High-Accuracy and Low-Delay Model Training
Yiannis Papageorgiou, Yannis Thomas, Ramin Khalili +1
Can we find a network architecture for ML model training so as to optimize training loss (and thus, accuracy) in Split Federated Learning (SFL)? And can this architecture also redu…
cs.DC2025
Collaborative Split Federated Learning with Parallel Training and Aggregation
Yiannis Papageorgiou, Yannis Thomas, Alexios Filippakopoulos +2
Federated learning (FL) operates based on model exchanges between the server and the clients, and it suffers from significant client-side computation and communication burden. Spli…