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"FjORD: Fair and Accurate Federated Learning under heterogeneous targets ..."

Samuel Horváth et al. (2021)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2022-05-03

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  - electronic edition @ neurips.cc (open access)
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  dblp key:
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  - https://dblp.org/rec/conf/nips/HorvathLALVL21
Samuel Horváth, Stefanos Laskaridis, Mário Almeida, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane:
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout. NeurIPS 2021: 12876-12889

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