SyncFed: Time-Aware Federated Learning through Explicit Timestamping and Synchronization

As Federated Learning (FL) expands to larger and more distributed environments, consistency in training is challenged by network-induced delays, clock unsynchronicity, and variability in client updates. This combination of factors may contribute to misaligned contributions that undermine model relia...

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Vydané v:	Proceedings (IEEE International Conference on Emerging Technologies and Factory Automation) s. 1 - 8
Hlavní autori:	Gul, Baran Can, Tziampazis, Stefanos, Jazdi, Nasser, Weyrich, Michael
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 09.09.2025
Predmet:	Delays Distributed Training Federated learning Manufacturing automation Network Time Protocol Numerical models Protocols Reliability Semantics Servers Synchronization Temporal Consistency Timestamp-based Aggregation Training
ISSN:	1946-0759
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