Research on asynchronous robust federated learning method in vehicle computing power network
The synchronous training mechanism of traditional federated learning was not suitable for dynamic vehicle computing power network scenarios, and lacked effective detection mechanisms under the threat of malicious vehicle attacks. To address the above issues, an asynchronous robust federated learning...
Saved in:
| Main Authors: | YIN Hongbo, WANG Shuai, ZHANG Ke, ZHANG Yin |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
China InfoCom Media Group
2024-12-01
|
| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2024.00452/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Blockchain and signcryption enabled asynchronous federated learning framework in fog computing
by: Zhou Zhou, et al.
Published: (2025-04-01) -
Asynchronous Federated Learning Through Online Linear Regressions
by: Taiga Kashima, et al.
Published: (2024-01-01) -
DAG-based swarm learning: A secure asynchronous learning framework for Internet of Vehicles
by: Xiaoge Huang, et al.
Published: (2024-12-01) -
A Well-Defined Procedure for Designing Robust Asynchronous Controllers for DC-DC Converters
by: Rosario Mita, et al.
Published: (2024-12-01) -
Improved Asynchronous Federated Learning for Data Injection Pollution
by: Aiyou Li, et al.
Published: (2025-05-01)