Yichen Ruan

2 accepted papers

2022

FedSoft: Soft Clustered Federated Learning with Proximal Local Updating

AAAI 2022technical

Traditionally, clustered federated learning groups clients with the same data distribution into a cluster, so that every client is uniquely associated with one data distribution and helps train a model for this distribution. We relax this hard association assumption to soft clustered federated learn…

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2021

Towards Flexible Device Participation in Federated Learning

Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, Carlee Joe-Wong

AISTATS 2021poster

Traditional federated learning algorithms impose strict requirements on the participation rates of devices, which limit the potential reach of federated learning. This paper extends the current learning paradigm to include devices that may become inactive, compute incomplete updates, and depart or a…

Cited by 141 Source ↗PDF ↗Scholar ↗