Aug 4, 2023 · In this paper, we develop CriticalFL, a CLP augmented FL framework to reveal that adaptively augmenting exiting FL methods with CLP, the resultant performance ...
Aug 10, 2023 · We propose a practical, easy-to-compute Federated Gradient Norm (FGN) metric to identify CLP in an online manner, fixing a major paradox for ...
Dec 31, 2022 · In this paper, we develop CriticalFL, a CLP augmented FL framework to reveal that adaptively augmenting exiting FL methods with CLP, the resultant performance ...
Aug 4, 2023 · "CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning". KDD '23: Proceedings of the ...
Federated Learning (FL) empowers multiple data owners to collectively train a global model while preserving the privacy of their individual training data [19,34 ...
Presented here are the foundational algorithm implementations within the context of Federated Learning (FL). This resource encompasses the key components ...
Duration: 1:57
Posted: Jul 12, 2023
Posted: Jul 12, 2023
Missing: CriticalFL: Efficient
Sep 8, 2024 · In this paper, we propose an adaptive critical learning periods control framework, FedPrime, to augment client selection in FL based on the fine-grained ...
Li, "CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning". Proceedings of ACM SIGKDD Conference on ...
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CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning. Conference Paper. Aug 2023. Gang Yan · Hao Wang ...