ACSP-FL combines below-average client selection, a decay schedule, and layer sharing with per-client personalization to reduce federated learning communication cost on HAR tasks.
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Adaptive Client Selection with Personalization for Communication Efficient Federated Learning
ACSP-FL combines below-average client selection, a decay schedule, and layer sharing with per-client personalization to reduce federated learning communication cost on HAR tasks.