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20182025
most citedMulti-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities

22 citations · 35 across the 12 of their papers we have counts for

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cs.AI2025

Multi-Modal Multi-Task (M3T) Federated Foundation Models for Embodied AI: Potentials and Challenges for Edge Integration

Kasra Borazjani, Payam Abdisarabshali, Fardis Nadimi +5

As embodied AI systems become increasingly multi-modal, personalized, and interactive, they must learn effectively from diverse sensory inputs, adapt continually to user preference…