Abstract: Due to the scarcity of high-quality data, the employment of Federated Learning (FL) for the fine-tuning task of Large Language Models (LLMs) has turned into a research hotspot. However, the ...
Abstract: In this letter, we introduce a method for fine-tuning Large Language Models (LLMs), inspired by Multi-Task learning in a federated manner. Our approach leverages the structure of each client ...
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