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

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

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@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}
}