Aergia: leveraging heterogeneity in federated learning systems

Aergia: leveraging heterogeneity in federated learning systems. Cox, B., Chen, L. Y., & Decouchant, J. In Bellavista, P., Zhang, K., Gherbi, A., Bagchi, S., Patiño, M., Modica, G. D., & Gascon-Samson, J., editors, Middleware '22: 23rd International Middleware Conference, Quebec, QC, Canada, November 7 - 11, 2022, pages 107–120, 2022. ACM.

Paper doi bibtex

@inproceedings{DBLP:conf/middleware/CoxCD22,
  author       = {Bart Cox and
                  Lydia Y. Chen and
                  J{\'{e}}r{\'{e}}mie Decouchant},
  editor       = {Paolo Bellavista and
                  Kaiwen Zhang and
                  Abdelouahed Gherbi and
                  Saurabh Bagchi and
                  Marta Pati{\~{n}}o and
                  Giuseppe Di Modica and
                  Julien Gascon{-}Samson},
  title        = {Aergia: leveraging heterogeneity in federated learning systems},
  booktitle    = {Middleware '22: 23rd International Middleware Conference, Quebec,
                  QC, Canada, November 7 - 11, 2022},
  pages        = {107--120},
  publisher    = {{ACM}},
  year         = {2022},
  url          = {https://doi.org/10.1145/3528535.3565238},
  doi          = {10.1145/3528535.3565238},
  timestamp    = {Sun, 16 Apr 2023 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/middleware/CoxCD22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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