Survey of Multimodal Federated Learning: Exploring Data Integration, Challenges, and Future Directions

Survey of Multimodal Federated Learning: Exploring Data Integration, Challenges, and Future Directions

<p dir="ltr">The rapidly expanding demand for intelligent wireless applications and the Internet of Things (IoT) requires advanced system designs to handle multimodal data effectively while ensuring user privacy and data security. Traditional machine learning (ML) models rely on cent...

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Bibliographic Details
Main Author: Mumin Adam (22466626) (author)
Other Authors: Abdullatif Albaseer (16904607) (author), Uthman Baroudi (22466629) (author), Mohamed Abdallah (3073191) (author)
Published: 2025
Subjects:
Health sciences
Health services and systems
Information and computing sciences
Artificial intelligence
Data management and data science
Machine learning
Multimodal FL
data fusion
cross-modal
multimodal federated transformer learning ,
multimodal FL communication intelligent IoT applications
Data models
Surveys
Transformers
Data privacy
Computational modeling
Internet of Things
Accuracy
Scalability
Federated learning
Distributed databases
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