FlexFed combines offline local training with performance-based retention of rare-class samples and reports reduced catastrophic forgetting in federated human activity recognition.
Riemannian walk for incremental learning: Under- standing forgetting and intransigence
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FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments
FlexFed combines offline local training with performance-based retention of rare-class samples and reports reduced catastrophic forgetting in federated human activity recognition.