FedRSMax: An Effective Aggregation Technique for Federated Learning with Medical Images

Author:

Hossen Md. Nazmul1,Ahmed Kawsar1,Bui Francis M.1,Chen Li1

Affiliation:

1. University of Saskatchewan,Department of Electrical and Computer Engineering,Saskatoon,Canada,S7N 5A9

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

IEEE

Reference22 articles.

1. Federated learning with non-iid data;yue,2018

2. Towards federated learning at scale: System design;keith;Proceedings of Machine Learning and Systems,2019

3. Federated optimization in heterogeneous networks;tian;Proceedings of Machine Learning and Systems,2020

4. Federated learning: Strategies for improving communication efficiency;jakub,2016

5. The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions;philipp;Scientific Data,2018

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