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Multimodal federated learning can finally handle the messy reality of missing data with BLOSSOM's block-wise personalization, boosting performance by up to 37.7% compared to naive aggregation.
VLMs can be easily swayed by subtle, optimized visual prompts, revealing vulnerabilities in their decision-making processes that could be exploited in real-world applications.
