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Just Talk Once: Communication-Efficient Split Federated LLM Fine-Tuning on Edge Devices
Large language model (LLM) fine-tuning is increasingly shifting toward data generated on edge devices, where memory, computation, bandwidth, and connectivity constraints make conventional federated learning difficult to sustain. Split federated fine-tuning (SFT) improves client-side efficiency by of
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