Efficient Asynchronous Multi-Participant Vertical Federated Learning

Author:

Shi Haoran1ORCID,Xu Yonghui2ORCID,Jiang Yali1,Yu Han3ORCID,Cui Lizhen2ORCID

Affiliation:

1. School of Software, Shandong University, China

2. Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, China

3. School of Computer Science and Engineering, Nanyang Technological University, Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Information Systems

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Vertical Federated Learning Across Heterogeneous Regions for Industry 4.0;IEEE Transactions on Industrial Informatics;2024-08

2. SecureVFL: privacy-preserving multi-party vertical federated learning based on blockchain and RSS;Digital Communications and Networks;2024-08

3. MI-VFDNN: An Efficient Vertical Federated Deep Neural Network With Multi-Layer Interaction;IEEE Transactions on Information Forensics and Security;2024

4. A PPO-Based Dynamic Asynchronous Semi-Decentralized Federated Edge Learning;2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS);2023-12-17

5. Flexible Vertical Federated Learning With Heterogeneous Parties;IEEE Transactions on Neural Networks and Learning Systems;2023

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