Fed-RAC: Resource-Aware Clustering for Tackling Heterogeneity of Participants in Federated Learning. Mishra, R., Gupta, H. P., Banga, G., & Das, S. K. IEEE Trans. Parallel Distributed Syst., 35(7):1207-1220, 07, 2024.
Fed-RAC: Resource-Aware Clustering for Tackling Heterogeneity of Participants in Federated Learning. [link]Link  Fed-RAC: Resource-Aware Clustering for Tackling Heterogeneity of Participants in Federated Learning. [link]Paper  bibtex   
@article{journals/tpds/MishraGBD24,
  added-at = {2024-06-18T00:00:00.000+0200},
  author = {Mishra, Rahul and Gupta, Hari Prabhat and Banga, Garvit and Das, Sajal K.},
  biburl = {https://www.bibsonomy.org/bibtex/29113894ad548b88d9183e8c0aaf7a8c2/dblp},
  ee = {https://doi.org/10.1109/TPDS.2024.3379933},
  interhash = {820fb22a7f9a207381ee8dd6d35e98c1},
  intrahash = {9113894ad548b88d9183e8c0aaf7a8c2},
  journal = {IEEE Trans. Parallel Distributed Syst.},
  keywords = {dblp},
  month = {07},
  number = 7,
  pages = {1207-1220},
  timestamp = {2024-06-24T07:11:39.000+0200},
  title = {Fed-RAC: Resource-Aware Clustering for Tackling Heterogeneity of Participants in Federated Learning.},
  url = {http://dblp.uni-trier.de/db/journals/tpds/tpds35.html#MishraGBD24},
  volume = 35,
  year = 2024
}

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