Optimized Federated Learning on Class-Biased Distributed Data Sources
Communications in computer and information science, pp. 146–158
Authors 6
-
Affiliation as printed
Chair of Computer Science 5, Information Systems and Databases, RWTH Aachen University, Aachen, Germany
-
Affiliation as printed
Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway
-
Affiliation as printed
Chair of Computer Science 5, Information Systems and Databases, RWTH Aachen University, Aachen, Germany
-
Affiliation as printed
Department of Electrical Engineering and Computer Science, University of Stavanger, Stavanger, Norway
-
Fraunhofer Institute for Applied Information Technology · RWTH Aachen University
Affiliation as printed
Chair of Computer Science 5, Information Systems and Databases, RWTH Aachen University, Aachen, Germany
Fraunhofer Institute for Applied Information Technology (FIT), Sankt Augustin, Germany
-
University of Cologne · Fraunhofer Institute for Applied Information Technology · University Hospital Cologne
Affiliation as printed
Faculty of Medicine and University Hospital Cologne, Institute for Medical Informatics, University of Cologne, Cologne, Germany
Fraunhofer Institute for Applied Information Technology (FIT), Sankt Augustin, Germany
Cited by 7 stored of 7
7 results
No patents citing this paper on Lens.org (checked 2026-10-06).
References 16
-
W6600103761details pending0citations
-
W6600140940details pending0citations
-
W6600238479details pending0citations
-
W3091404410details pending0citations
-
W6602046083details pending0citations
16 results