most citedLearning Reconfigurable Representations for Multimodal Federated Learning with Missing Data

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.MM2026

Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data

Thu Hang Phung, Duong M. Nguyen, Thanh Trung Huynh +3

This paper introduces a generalized federated prompt-tuning framework for practical scenarios where local datasets are multi-modal and exhibit different distributional patterns of…

cs.LG2025★ 1 cited

Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data

Duong M. Nguyen, Trong Nghia Hoang, Thanh Trung Huynh +2

Multimodal federated learning in real-world settings often encounters incomplete and heterogeneous data across clients. This results in misaligned local feature representations tha…