Feb 24, 2023 · This article proposes a hybrid FL framework called FedSeq, based on user clustering and sequential in-cluster training, to improve the communication efficiency ...
A hybrid FL framework called FedSeq is proposed, based on user clustering and sequential in-cluster training, to improve the communication efficiency and ...
Oct 22, 2024 · This article proposes a hybrid FL framework called FedSeq, based on user clustering and sequential in-cluster training, to improve the ...
FedSeq: A Hybrid Federated Learning Framework Based on Sequential In-Cluster Training ... FedSeq is proposed, based on user clustering and sequential in ...
Our work introduces a novel approach to representation learning by employing sequential layer expansion and scheduling methods. Unlike traditional methods that ...
Missing: Hybrid | Show results with:Hybrid
Sep 26, 2024 · Particularly, Ref. [32] proposes an HFL framework, called FedSeq, based on client clustering and sequential training. It partitions clients into ...
This article proposes a hybrid FL framework called FedSeq, based on user clustering and sequential in-cluster training, to improve the communication efficiency ...
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Mar 27, 2023 · FedSeq是一种基于序列簇内训练的混合联邦学习框架。该框架采用了更多聚类方法，并对随机用户聚类和有用户聚类的解决方案进行了分析与比较。
3 days ago · The study introduces a novel personalized federated learning approach that integrates sequential layer expansion and dynamic scheduling methods, ...
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FedSeq: A Hybrid Federated Learning Framework Based on Sequential In-Cluster Training. Request PDF. Restricted access. IEEE Systems Journal. Profile Image.