A Measured Communication-Quality Frontier for Federated LoRA Fine-Tuning with Adaptive Phase-Switching.

arXiv:2609.13512v2 Announce Type: replace-cross Abstract: Federated fine-tuning of large language models with low-rank adaptation (LoRA) reduces the number of trainable parameters, but communication remains the dominant cost, and protocols are usually compared