Preprint
Sep 2026
CoCoFL: Continual Computing for Federated Learning over Intermittent Satellite-Ground Links
This work proposes a continual computing based federated learning framework, referred to as CoCoFL, in which scheduled devices participate in the global model aggregation, while unscheduled devices continue updating their local models taking into account model staleness.
Yun Shen, Kun Guo, Xi Yang et al.
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