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News/FediLoRA: Practical Federated Fine-Tuning of Foundation Models Under Missing-Modality Constraints
arxiv
PublishedOctober 28, 2026 at 4:00 AM

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

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arXiv:2509.06984v4 Announce Type: replace 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 institutions often possess heterogeneous computational

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