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20172026
most citedTIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations

54 citations · 175 across the 15 of their papers we have counts for

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Showing 2019 · cs.DCShow all

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cs.DC2019★ 20 cited

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…