Search Results for author: Yichen Ruan

Found 3 papers, 0 papers with code

FedSoft: Soft Clustered Federated Learning with Proximal Local Updating

no code implementations11 Dec 2021 Yichen Ruan, Carlee Joe-Wong

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.

Federated Learning

Towards Flexible Device Participation in Federated Learning

no code implementations12 Jun 2020 Yichen Ruan, Xiaoxi Zhang, Shu-Che Liang, Carlee Joe-Wong

Traditional federated learning algorithms impose strict requirements on the participation rates of devices, which limit the potential reach of federated learning.

Federated Learning

Network-Aware Optimization of Distributed Learning for Fog Computing

no code implementations17 Apr 2020 Yuwei Tu, Yichen Ruan, Su Wang, Satyavrat Wagle, Christopher G. Brinton, Carlee Joe-Wong

Unlike traditional federated learning frameworks, our method enables devices to offload their data processing tasks to each other, with these decisions determined through a convex data transfer optimization problem that trades off costs associated with devices processing, offloading, and discarding data points.

Distributed, Parallel, and Cluster Computing

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