Multi-Task Federated Split Learning Across Multi-Modal Data with Privacy Preservation

Multi-Task Federated Split Learning Across Multi-Modal Data with Privacy Preservation

With the advancement of federated learning (FL), there is a growing demand for schemes that support multi-task learning on multi-modal data while ensuring robust privacy protection, especially in applications like intelligent connected vehicles. Traditional FL schemes often struggle with the complex...

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Bibliographic Details
Main Authors: Yipeng Dong, Wei Luo, Xiangyang Wang, Lei Zhang, Lin Xu, Zehao Zhou, Lulu Wang
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
federated learning
multi-task learning
data privacy
split learning
multi-modal data
Online Access:https://www.mdpi.com/1424-8220/25/1/233
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