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PriVeriFL: Privacy-Preserving and Aggregation-Verifiable Federated Learning

Lu-Lu Wang et al.
Semantic Scholar · Papers
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computer-science
Federated learning provides a collaborative way to build machine learning models without sharing private data. However, attackers might infer private information from model updates submitted by participants, and the aggregator might maliciously forge the final aggregation results. Federated learning
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