Abstract: Federated learning (FL) is recognized as a pivotal paradigm for 6G, offering decentralized model training without compromising data privacy. Recent works have proposed deploying FL in ...
[442435:0x56505785a000] 42870971 ms: Scavenge (interleaved) 4007.7 (4074.9) -> 3996.9 (4151.4) MB, pooled: 0 MB, 10.73 / 0.00 ms (average mu = 0.240, current mu = 0.169) allocation failure; ...
Abstract: In mobile edge computing (MEC), task offloading can significantly reduce task execution latency and energy consumption of end user (EU). However, edge server (ES) resources are limited, ...
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