FedPrime: An Adaptive Critical Learning Periods Control Framework for Efficient Federated Learning in Heterogeneity Scenarios

Du and Yang. "FedPrime: An Adaptive Critical Learning Periods Control Framework for Efficient Federated Learning in Heterogeneity Scenarios." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024. doi:10.1007/978-3-031-70362-1_8

[Du and Yang. "FedPrime: An Adaptive Critical Learning Periods Control Framework for Efficient Federated Learning in Heterogeneity Scenarios." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024.](https://mlanthology.org/ecmlpkdd/2024/du2024ecmlpkdd-fedprime/) doi:10.1007/978-3-031-70362-1_8

@inproceedings{du2024ecmlpkdd-fedprime,
  title     = {{FedPrime: An Adaptive Critical Learning Periods Control Framework for Efficient Federated Learning in Heterogeneity Scenarios}},
  author    = {Du, Haizhou and Yang, Zhiyuan},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2024},
  pages     = {125-141},
  doi       = {10.1007/978-3-031-70362-1_8},
  url       = {https://mlanthology.org/ecmlpkdd/2024/du2024ecmlpkdd-fedprime/}
}