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cs.LG2024
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…
cs.LG2024
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…
cs.NI2024
Resource-Aware Hierarchical Federated Learning in Wireless Video Caching Networks
Md Ferdous Pervej, Andreas F. Molisch
Backhaul traffic congestion caused by the video traffic of a few popular files can be alleviated by storing the to-be-requested content at various levels in wireless video caching…