Social-Aware Federated Learning: Challenges and Opportunities in Collaborative Data Training-Reference-Cited by-同舟云学术

Social-Aware Federated Learning: Challenges and Opportunities in Collaborative Data Training

Published:2023-03-01 Issue:2 Volume:27 Page:36-44
ISSN:1089-7801
Container-title:IEEE Internet Computing
language:
Short-container-title:IEEE Internet Comput.

Author:

Ottun Abdul-Rasheed¹^ORCID,Mane Pramod C.²,Yin Zhigang¹^ORCID,Paul Souvik¹^ORCID,Liyanage Mohan¹^ORCID,Pridmore Jason³^ORCID,Ding Aaron Yi⁴^ORCID,Sharma Rajesh¹,Nurmi Petteri⁵^ORCID,Flores Huber¹^ORCID

Affiliation:

1. University of Tartu, Tartu, Estonia

2. Indian Institute of Management Rohtak, Rohtak, India

3. Erasmus University Rotterdam, Rotterdam, The Netherlands

4. Delft University of Technology, CD Delft, The Netherlands

5. University of Helsinki, Helsinki, Finland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications

Link

http://xplorestaging.ieee.org/ielx7/4236/10078763/09937185.pdf?arnumber=9937185

Reference20 articles.

1. Advances and Open Problems in Federated Learning

2. Data Poisoning Attacks Against Federated Learning Systems

3. Explainable artificial intelligence: an analytical review

4. Federated learning on non-IID data: A survey

5. Monetary Assessment of Battery Life on Smartphones

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