2026
FLoRG: Federated Fine-tuning with Low-rank Gram Matrices and Procrustes Alignment
ICLR 2026poster
Parameter-efficient fine-tuning techniques such as Low-rank Adaptation (LoRA) enable large language models (LLMs) to adapt to downstream tasks efficiently. Federated learning (FL) further facilitates this process by enabling collaborative fine-tuning across distributed clients without sharing privat…