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"Synthetic data shuffling accelerates the convergence of federated learning ..."

Bo Li et al. (2024)

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DOI: —

access: open

type: Journal Article

metadata version: 2024-08-08

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  - electronic edition @ openreview.net (open access)
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  dblp key:
  - journals/tmlr/0119ESAS24
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  persistent URL:
  - https://dblp.org/rec/journals/tmlr/0119ESAS24
Bo Li, Yasin Esfandiari, Mikkel N. Schmidt, Tommy Sonne Alstrøm, Sebastian U. Stich:
Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity. Trans. Mach. Learn. Res. 2024 (2024)

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