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https://arxiv.org/abs/2404.12467 Towards Multi-modal Transformers in Federated LearningMulti-modal transformers mark significant progress in different domains, but siloed high-quality data hinders their further improvement. To remedy this, federated learning (FL) has emerged as a promising privacy-preserving paradigm for training models witharxiv.org 0. AbstractMulti-modal transformers: 이미지와 텍스트..