End-to-End Verifiable Decentralized Federated Learning
End-to-End Verifiable Decentralized Federated Learning
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
Verifiable decentralized federated learning (FL) systems combining blockchains and zero-knowledge proofs (ZKP) make the computational integrity of local learning and global aggregation verifiable across workers. However, they are not end-to-end: data can still be corrupted prior to the learning. In this paper, we propose a verifiable decentralized...
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End-to-End Verifiable Decentralized Federated Learning
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TN_cdi_proquest_journals_3043503511
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3043503511
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E-ISSN
2331-8422
