Towards Sparsified Federated Neuroimaging Models via Weight Pruning

Towards Sparsified Federated Neuroimaging Models via Weight Pruning. Stripelis, D., Gupta, U., Dhinagar, N., Steeg, G. V., Thompson, P. M., & Ambite, J. L. In Albarqouni, S., Bakas, S., Bano, S., Cardoso, M. J., Khanal, B., Landman, B. A., Li, X., Qin, C., Rekik, I., Rieke, N., Roth, H., Sheet, D., & Xu, D., editors, Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health - Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with Medical Image Computing and Computer Assisted Intervention Society MICCAI Conference 2022, Singapore, September 18 and 22, 2022, Proceedings, volume 13573, of Lecture Notes in Computer Science, pages 141–151, 2022. Springer.

Paper doi bibtex

@inproceedings{stripelis2022:DeCaF,
  author    = {Dimitris Stripelis and
               Umang Gupta and
               Nikhil Dhinagar and
               Greg Ver Steeg and
               Paul M. Thompson and
               Jos{\'{e}} Luis Ambite},
  editor    = {Shadi Albarqouni and
               Spyridon Bakas and
               Sophia Bano and
               M. Jorge Cardoso and
               Bishesh Khanal and
               Bennett A. Landman and
               Xiaoxiao Li and
               Chen Qin and
               Islem Rekik and
               Nicola Rieke and
               Holger Roth and
               Debdoot Sheet and
               Daguang Xu},
  title     = {Towards Sparsified Federated Neuroimaging Models via Weight Pruning},
  booktitle = {Distributed, Collaborative, and Federated Learning, and Affordable
               {AI} and Healthcare for Resource Diverse Global Health - Third {MICCAI}
               Workshop, DeCaF 2022, and Second {MICCAI} Workshop, {FAIR} 2022, Held
               in Conjunction with Medical Image Computing and Computer Assisted Intervention Society {MICCAI} Conference 2022, Singapore, September 18 and 22,
               2022, Proceedings},
  series    = {Lecture Notes in Computer Science},
  volume    = {13573},
  pages     = {141--151},
  publisher = {Springer},
  year      = {2022},
  url       = {https://doi.org/10.1007/978-3-031-18523-6\_14},
  doi       = {10.1007/978-3-031-18523-6\_14},
  timestamp = {Wed, 12 Oct 2022 08:57:48 +0200},
  biburl    = {https://dblp.org/rec/conf/miccai/StripelisGDSTA22.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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