Abstract: Federated learning (FL) has emerged as a pivotal approach for edge-based distributed machine learning, yet it faces significant challenges due to the constrained capacities and heterogeneity ...
Abstract: Large Language Models (LLMs) have recently gained popularity for tasks like text generation and automated reasoning, often hosted on cloud servers to handle large-scale user interactions.
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