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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Vydáno v:	Proceedings (IEEE International Conference on Emerging Technologies and Factory Automation) s. 1 - 8
Hlavní autoři:	Gul, Baran Can, Tziampazis, Stefanos, Jazdi, Nasser, Weyrich, Michael
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 09.09.2025
Témata:	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
On-line přístup:	Získat plný text
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