Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review-Reference-Cited by-同舟云学术

Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review

Author:

Witt Leon¹^ORCID,Heyer Mathis²,Toyoda Kentaroh³^ORCID,Samek Wojciech⁴^ORCID,Li Dan⁵^ORCID

Affiliation:

1. Department of Computer Science and Technology, Tsinghua University, Beijing, China

2. Department of Industrial Engineering, Tsinghua University, Beijing, China

3. Institute of High Performance Computing, Agency for Science, Technology and Research, Connexis, Singapore

4. Department of Artificial Intelligence, Fraunhofer Heinrich Hertz Institute, Berlin, Germany

5. Department of Computer Science, Tsinghua University, Beijing, China

Funder

Key-Area Research and Development Program of Guangdong Province

Tsinghua University-China Mobile Communications Group Company, Ltd. Joint Institute, KAKENHI from MEXT/JSPS, Japan

German Ministry for Education and Research (BMBF) through BIFOLD

European Union’s Horizon 2020 Research and Innovation Programme through COPA EUROPE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference116 articles.

4. Blockchainenabled 5G edge networks and beyond: An intelligent cross-silo federated learning approach;rahmadika;Security Commun Netw,2021

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