Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration

As Federated Learning (FL) has been widely used for collaborative training, a considerable computational straggler issue emerged: when FL deploys identical neural network models to heterogeneous devices, the ones with weak computational capacities, referred to as stragglers, may significantly delay...

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Bibliographic Details

Published in:	2021 58th ACM/IEEE Design Automation Conference (DAC) pp. 997 - 1002
Main Authors:	Xu, Zirui, Yu, Fuxun, Xiong, Jinjun, Chen, Xiang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 05.12.2021
Subjects:	Collaboration Collaborative work Object recognition Performance evaluation Resistance Solid modeling Training
Online Access:	Get full text
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