Multimodal Federated Learning With Missing Modalities through Feature Imputation Network

Poudel, PranavChhetri, AavashGyawali, Prashnna KLeontidis, GeorgiosBhattarai, BinodAli, SharibHogg, David C.Peckham, Michelle2025-07-172025-07-172025Poudel, P, Chhetri, A, Gyawali, P K, Leontidis, G & Bhattarai, B 2025, Multimodal Federated Learning With Missing Modalities through Feature Imputation Network. in S Ali, D C Hogg & M Peckham (eds), Medical Image Understanding and Analysis : 29th Annual Conference, MIUA 2025, Leeds, UK, July 15–17, 2025, Proceedings, Part I. vol. Part 1, Lecture Notes in Computer Science, no. 15916, Springer Nature, pp. 289–299, 2025 Medical Image Understanding and Analysis Conference , Leeds, United Kingdom, 15/07/25. https://doi.org/10.48550/arXiv.2505.20232, https://doi.org/10.1007/978-3-031-98688-8_20conference978-3-031-98687-1978-3-031-98688-80302-9743ORCID: /0000-0001-7171-6469/work/188340354ORCID: /0000-0001-6671-5568/work/188340976https://hdl.handle.net/2164/25715113101752engSDG 3 - Good Health and Well-beingmultimodal learningfederated learningmissing modalitiesfeature generationQA75 Electronic computers. Computer scienceQA75Multimodal Federated Learning With Missing Modalities through Feature Imputation NetworkConference item10.48550/arXiv.2505.20232https://rdcu.be/eK9gc