FlashbackCL adds time-decayed label counts, class-balanced replay, and coreset curation to Flashback, yielding 6.9-10% gains and up to 68% less temporal forgetting on CIFAR-10 under controlled shifts.
FilFL : Accelerating federated learning via client filtering
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FlashbackCL: Mitigating Temporal Forgetting in Federated Learning
FlashbackCL adds time-decayed label counts, class-balanced replay, and coreset curation to Flashback, yielding 6.9-10% gains and up to 68% less temporal forgetting on CIFAR-10 under controlled shifts.