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20242026
most citedMulti-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities

22 citations · 26 across the 8 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…

cs.LG2026

Federated Foundation Models over Vehicular Networks

Kasra Borazjani, Fardis Nadimi, Payam Abdisarabshali +5

This paper presents a forward-looking vision for integrating the emerging multi-modal multi-task federated foundation models (M3T FedFMs) into vehicular networks, with the goal of…