A federated distillation scheme combining channel-aware Top-k logit sparsification, sparsity-aware aggregation, and LoRA projection alignment cuts communication by about 50% while improving fine-tuning accuracy in a GPT-2 experiment.
Data-free knowledge distillation for het- erogeneous federated learning,
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Communication-Aware Knowledge Distillation for Federated LLM Fine-Tuning over Wireless Networks
A federated distillation scheme combining channel-aware Top-k logit sparsification, sparsity-aware aggregation, and LoRA projection alignment cuts communication by about 50% while improving fine-tuning accuracy in a GPT-2 experiment.