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News/Secure Aggregation for Privacy-Preserving Federated Learning on Clinical EEG Data
arxiv
PublishedJuly 31, 2026 at 4:00 AM
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Secure Aggregation for Privacy-Preserving Federated Learning on Clinical EEG Data

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Publisher summary· verbatim

arXiv:2607.28191v1 Announce Type: cross Abstract: Federated learning enables multiple institutions to train shared models without exchanging raw clinical EEG data, but it does not fully prevent privacy leakage from individual model updates. This paper presents a privacy-preserving federated learning

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