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most citedInterpreting and Evaluating Neural Network Robustness

11 citations · 15 across the 3 of their papers we have counts for

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cs.DC2019

Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration

Zirui Xu, Fuxun Yu, Jinjun Xiong +1

In this paper, we propose Helios, a heterogeneity-aware FL framework to tackle the straggler issue. Helios identifies individual devices' heterogeneous training capability, and the…