Fair Collaborative Learning (FairCL): A Method to Improve Fairness amid Personalization
- Feng Lin ,
Feng Lin
[email protected]https://orcid.org/0009-0009-6661-7955
Department of Industrial and Systems Engineering, University of Washington, Seattle, Washington 98195
- Chaoyue Zhao ,
Chaoyue Zhao
[email protected]https://orcid.org/0000-0003-0442-2991
Department of Industrial and Systems Engineering, University of Washington, Seattle, Washington 98195
- Xiaoning Qian ,
Xiaoning Qian
[email protected]https://orcid.org/0000-0002-4347-2476
Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77843
- Kendra Vehik ,
Kendra Vehik
[email protected]https://orcid.org/0000-0001-6243-6772
Health Informatics Institute, University of South Florida, Tampa, Florida 33620
- Shuai Huang
Corresponding Author
Shuai Huang
[email protected]https://orcid.org/0000-0003-2493-6818
Department of Industrial and Systems Engineering, University of Washington, Seattle, Washington 98195
Feng Lin
[email protected]https://orcid.org/0009-0009-6661-7955
Department of Industrial and Systems Engineering, University of Washington, Seattle, Washington 98195
Chaoyue Zhao
[email protected]https://orcid.org/0000-0003-0442-2991
Department of Industrial and Systems Engineering, University of Washington, Seattle, Washington 98195
Xiaoning Qian
[email protected]https://orcid.org/0000-0002-4347-2476
Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77843
Kendra Vehik
[email protected]https://orcid.org/0000-0001-6243-6772
Health Informatics Institute, University of South Florida, Tampa, Florida 33620
Corresponding Author
Shuai Huang
[email protected]https://orcid.org/0000-0003-2493-6818
Department of Industrial and Systems Engineering, University of Washington, Seattle, Washington 98195
