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Personalized Hierarchical Split Federated Learning in Wireless Networks
Md-Ferdous Pervej, Andreas F. Molisch
Extreme resource constraints make large-scale machine learning (ML) with distributed clients challenging in wireless networks. On the one hand, large-scale ML requires massive info…
Online-Score-Aided Federated Learning for Resource-Constrained Wireless Clients with Continual Data Arrival
Ferdous Pervej, Minseok Choi, Andreas F. Molisch
Heterogeneous system configurations of distributed clients connected to the central server (CS) via a time-varying wireless network pose significant challenges for popular distribu…
Supervised ML Solution for Band Assignment in Dual-Band Systems with Omnidirectional and Directional Antennas
Daoud Burghal, Rui Wang, Abdullah Alghafis +1
Many wireless networks, including 5G NR (New Radio) and future beyond 5G cellular systems, are expected to operate on multiple frequency bands. This paper considers the band assign…