FedRandom: Sampling Consistent and Accurate Contribution Values in Federated Learning

Arno Geimer, Beltran Borja Fiz Pontiveros, Radu State. FedRandom: Sampling Consistent and Accurate Contribution Values in Federated Learning. In Irena Koprinska, João Mendes-Moreira 0001, Paula Branco, editors, Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Revised Selected Papers, Part III. Volume 2841 of Communications in Computer and Information Science, pages 452-463, Springer, 2025. [doi]

@inproceedings{GeimerPS25,
  title = {FedRandom: Sampling Consistent and Accurate Contribution Values in Federated Learning},
  author = {Arno Geimer and Beltran Borja Fiz Pontiveros and Radu State},
  year = {2025},
  doi = {10.1007/978-3-032-19102-1_27},
  url = {https://doi.org/10.1007/978-3-032-19102-1_27},
  researchr = {https://researchr.org/publication/GeimerPS25},
  cites = {0},
  citedby = {0},
  pages = {452-463},
  booktitle = {Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Revised Selected Papers, Part III},
  editor = {Irena Koprinska and João Mendes-Moreira 0001 and Paula Branco},
  volume = {2841},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-032-19102-1},
}