Parameterizing Federated Continual Learning for Reproducible Research

Parameterizing Federated Continual Learning for Reproducible Research. Cox, B., Galjaard, J., Shankar, A., Decouchant, J., & Chen, L. Y. In Meo, R. & Silvestri, F., editors, Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Revised Selected Papers, Part V, volume 2137, of Communications in Computer and Information Science, pages 478–486, 2023. Springer.

Paper doi bibtex

@inproceedings{DBLP:conf/pkdd/CoxGSDC23,
  author       = {Bart Cox and
                  Jeroen Galjaard and
                  Aditya Shankar and
                  J{\'{e}}r{\'{e}}mie Decouchant and
                  Lydia Y. Chen},
  editor       = {Rosa Meo and
                  Fabrizio Silvestri},
  title        = {Parameterizing Federated Continual Learning for Reproducible Research},
  booktitle    = {Machine Learning and Principles and Practice of Knowledge Discovery
                  in Databases - International Workshops of {ECML} {PKDD} 2023, Turin,
                  Italy, September 18-22, 2023, Revised Selected Papers, Part {V}},
  series       = {Communications in Computer and Information Science},
  volume       = {2137},
  pages        = {478--486},
  publisher    = {Springer},
  year         = {2023},
  url          = {https://doi.org/10.1007/978-3-031-74643-7\_35},
  doi          = {10.1007/978-3-031-74643-7\_35},
  timestamp    = {Mon, 03 Mar 2025 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/conf/pkdd/CoxGSDC23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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