README.md

SAFA: Handling Sparse and Scarce Data in Federated Learning with Accumulative Learning

This paper was accepted to the 2025 IEEE Transactions on Computers!

Usage

Please checkout the "EasyFL Framework" used for paper Federated Learning with Fair Averaging which is accepted by IJCAI-21 Conference.

If you find this code helps your research, please consider a citation for us

The exact information for citation will be updated soon!

@ARTICLE{10908581,
  author={Nguyen, Nang Hung and Nguyen, Truong Thao and Hoang, Trong Nghia and Pham, Hieu H. and Nguyen, Thanh Hung and Nguyen, Phi Le},
  journal={IEEE Transactions on Computers}, 
  title={SAFA: Handling Sparse and Scarce Data in Federated Learning With Accumulative Learning}, 
  year={2025},
  volume={74},
  number={6},
  pages={1844-1856},
  keywords={Data models;Federated learning;Training;Servers;Computational modeling;Electronic mail;Distributed databases;Computers;Training data;Data privacy;Federated learning;scarce and sparse data},
  doi={10.1109/TC.2025.3543682}
}