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

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Published in:ArXiv cs.DC Recent Papers
Format: Online Article RSS Article
Published: 2026
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spellingShingle DP-LAC: Lightweight Adaptive Clipping for Differentially Private Federated Fine-tuning of Language Models
ArXiv cs.DC Recent Papers
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display ArXiv cs.DC Recent Papers
Computer Science & IT
Engineering & Technology
ArXiv cs.DC Recent Papers
Computer Science & IT
Engineering & Technology
subject_facet ArXiv cs.DC Recent Papers
Computer Science & IT
Engineering & Technology
title DP-LAC: Lightweight Adaptive Clipping for Differentially Private Federated Fine-tuning of Language Models
title_auth DP-LAC: Lightweight Adaptive Clipping for Differentially Private Federated Fine-tuning of Language Models
title_full DP-LAC: Lightweight Adaptive Clipping for Differentially Private Federated Fine-tuning of Language Models
title_fullStr DP-LAC: Lightweight Adaptive Clipping for Differentially Private Federated Fine-tuning of Language Models
title_full_unstemmed DP-LAC: Lightweight Adaptive Clipping for Differentially Private Federated Fine-tuning of Language Models
title_short DP-LAC: Lightweight Adaptive Clipping for Differentially Private Federated Fine-tuning of Language Models
title_sort dp-lac: lightweight adaptive clipping for differentially private federated fine-tuning of language models
topic ArXiv cs.DC Recent Papers
Computer Science & IT
Engineering & Technology
url https://arxiv.org/abs/2605.10272v1