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Sylvas: Synergistic Learning Value based Device Scheduling in Federated Continual Learning
Federated continual learning (FCL) enables shared global models to continuously adapt to distributed and non-stationary data streams, making it important for Internet of Things applications such as intelligent transportation, industrial monitoring, and unmanned systems. Under spatio-temporal data di
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