most citedFedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update

3 citations · 7 across the 3 of their papers we have counts for

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cs.LG2023★ 3 cited

Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization

Tianshi Che, Ji Liu, Yang Zhou +5

Federated learning (FL) is a promising paradigm to enable collaborative model training with decentralized data. However, the training process of Large Language Models (LLMs) genera…