An Adaptive Federated Learning Algorithm with Attenuated Memory on Non-IID and Long-Tail Data
- Zhenyuan Huang ,
Zhenyuan Huang
[email protected]https://orcid.org/0009-0003-6187-5214
School of Cyber Science and Technology, Beihang University, Beijing 100191, China
- Haijun Yang ,
Corresponding Author
Haijun Yang
[email protected]https://orcid.org/0000-0001-8941-7571
School of Economics and Management, Beihang University, Beijing 100191, China; and Key Laboratory of Complex System Analysis, Management and Decision, Ministry of Education, Beihang University, Beijing 100191, China
- Harris Wu ,
Harris Wu
[email protected]https://orcid.org/0000-0002-8686-8585
Strome College of Business, Old Dominion University, Norfolk, Virginia 23529
- Chuteng Yang
Chuteng Yang
[email protected]https://orcid.org/0009-0001-4614-323X
Department of Computer Science, Stanford University, Stanford, California 94305
Zhenyuan Huang
[email protected]https://orcid.org/0009-0003-6187-5214
School of Cyber Science and Technology, Beihang University, Beijing 100191, China
Corresponding Author
Haijun Yang
[email protected]https://orcid.org/0000-0001-8941-7571
School of Economics and Management, Beihang University, Beijing 100191, China; and Key Laboratory of Complex System Analysis, Management and Decision, Ministry of Education, Beihang University, Beijing 100191, China
Harris Wu
[email protected]https://orcid.org/0000-0002-8686-8585
Strome College of Business, Old Dominion University, Norfolk, Virginia 23529
Chuteng Yang
[email protected]https://orcid.org/0009-0001-4614-323X
Department of Computer Science, Stanford University, Stanford, California 94305
