HSADR: A New Highly Secure Aggregation and Dropout-Resilient Federated Learning Scheme for Radio Access Networks With Edge Computing Systems-Reference-Cited by-同舟云学术

HSADR: A New Highly Secure Aggregation and Dropout-Resilient Federated Learning Scheme for Radio Access Networks With Edge Computing Systems

Author:

Wu Fan¹^ORCID,Li Xiong²^ORCID,Li Jingwei³^ORCID,Vijayakumar Pandi⁴^ORCID,Gupta Brij B.⁵^ORCID,Arya Varsha⁶

Affiliation:

1. School of Management, Xiamen Univeristy Tan Kah Kee College, Zhangzhou, China

2. Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, China

3. Institute for Cyber Security, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

4. Department of Computer Science and Engineering, Anna University, Chennai, India

5. Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan

6. Department of Business Administration, Asia University, Taichung, Taiwan

Funder

National Key Research and Development Program of China

Shenzhen Science and Technology Program

National Natural Science Foundation of China

Xiamen University Tan Kah Kee College Scientific Research Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference43 articles.

4. Communication-efficient learning of deep networks from decentralized data;McMahan

5. Federated optimization in heterogeneous networks;Li