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News/Gradient-Free Privacy Leakage in Federated Language Models through Selective Weight Tampering
arxiv
PublishedJuly 21, 2026 at 4:00 AM

Gradient-Free Privacy Leakage in Federated Language Models through Selective Weight Tampering

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arXiv:2310.16152v5 Announce Type: replace-cross Abstract: Federated learning (FL) has become a key component in various language modeling applications such as machine translation, next-word prediction, and medical record analysis. These applications are trained on datasets from many FL participants

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