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News/DP-LAC: Lightweight Adaptive Clipping for Differentially Private Federated Fine-tuning of Language Models
arxiv
PublishedMay 13, 2026 at 4:00 AM

DP-LAC: Lightweight Adaptive Clipping for Differentially Private Federated Fine-tuning of Language Models

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arXiv:2605.10272v1 Announce Type: cross Abstract: Federated learning (FL) enables the collaborative training of large-scale language models (LLMs) across edge devices while keeping user data on-device. However, FL still exposes sensitive information through client-provided gradients. Differentially

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