FedHL aggregates heterogeneous LoRA updates against a full-rank global baseline and claims O(1/sqrt T) convergence, with small gains on three LLM fine-tuning datasets.
Fedbiot: Llm local fine-tuning in federated learning without full model,
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FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation
FedHL aggregates heterogeneous LoRA updates against a full-rank global baseline and claims O(1/sqrt T) convergence, with small gains on three LLM fine-tuning datasets.