Abstract: Modern power systems impose dual challenges on data networks: increasing computational tasks and stringent low-latency requirements. Traditional cloud computing struggles to meet these ...
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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