VARF: An Incentive Mechanism of Cross-Silo Federated Learning in MEC-Reference-Cited by-同舟云学术

VARF: An Incentive Mechanism of Cross-Silo Federated Learning in MEC

Author:

Li Ying¹^ORCID,Wang Xingwei¹^ORCID,Zeng Rongfei²,Yang Mingzhou³,Li Kexin¹^ORCID,Huang Min⁴,Dustdar Schahram⁵^ORCID

Affiliation:

1. College of Computer Science and Engineering, Northeastern University, Shenyang, China

2. College of Software, Northeastern University, Shenyang, China

3. School of Information Science and Engineering, Shenyang University of Technology, Shenyang, China

4. College of Information Science and Engineering, Northeastern University, Shenyang, China

5. Distributed Systems Group, TU Wien, Vienna, Austria

Funder

National Natural Science Foundation of China

Science and Technology Planning Project of Shenyang City

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference59 articles.

3. Acceleration for compressed gradient descent in distributed and federated optimization;li;arXiv 2002 11364,2020

5. CRFL: Certifiably robust federated learning against backdoor attacks;xie;Proc Int Conf Mach Learn,2021

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