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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Vydané v:	2021 58th ACM/IEEE Design Automation Conference (DAC) s. 997 - 1002
Hlavní autori:	Xu, Zirui, Yu, Fuxun, Xiong, Jinjun, Chen, Xiang
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 05.12.2021
Predmet:	Collaboration Collaborative work Object recognition Performance evaluation Resistance Solid modeling Training
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