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News/Mechanistic Evidence for Preserved-but-Misaligned Representations in Non-IID FedAvg
arxiv
PublishedJuly 16, 2026 at 4:00 AM
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Mechanistic Evidence for Preserved-but-Misaligned Representations in Non-IID FedAvg

Source
arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2512.23043v3 Announce Type: replace Abstract: Federated Averaging (FedAvg) often degrades under non-IID client data, but it remains unclear whether this degradation reflects the loss of client-learned representations or a failure to use representations that are still present. We study this que

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Discussion
Mentioned models
03
  • 01
    FedAvg
  • 02
    CNN
  • 03
    ResNet
Source
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arxiv
Read original ↗All from arxiv →
Tags
04
#federated-learning#non-iid-data#machine-learning#deep-learning

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Mentioned models
03
  • 01
    FedAvg
  • 02
    CNN
  • 03
    ResNet
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#federated-learning#non-iid-data#machine-learning#deep-learning

Related coverage

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