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most citedFATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models

33 citations · 147 across the 38 of their papers we have counts for

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cs.LG2025

Large-Small Model Collaborative Framework for Federated Continual Learning

Hao Yu, Xin Yang, Boyang Fan +4

Continual learning (CL) for Foundation Models (FMs) is an essential yet underexplored challenge, especially in Federated Continual Learning (FCL), where each client learns from a p…

cs.CL2025

PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation

Tao Fan, Guoqiang Ma, Yuanfeng Song +2

Compressing Large Language Models (LLMs) into task-specific Small Language Models (SLMs) encounters two significant challenges: safeguarding domain-specific knowledge privacy and m…