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20162026
most citedMulti-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities

22 citations · 50 across the 19 of their papers we have counts for

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cs.CV2026

BLEND: Balancing Personalization vs. Generalization in Federated Vision-Language Models

Payam Abdisarabshali, Fardis Nadimi, Kasra Borazjani +3

Federated vision-language models (FedVLMs) represent one of the emerging frontiers of machine learning, aiming to integrate federated learning within the fine-tuning pipelines of v…