FediLoRA: Practical Federated Fine-Tuning of Foundation Models Under Missing-Modality Constraints.

arXiv:2509.06984v4 Announce Type: replace-cross Abstract: Federated Learning with LoRA fine-tuning offers an efficient and privacy-aware solution for institutions to collaboratively leverage their large datasets to train VLLMs. However, participating instituti