@article{journals/tmc/MishraG25a,
  added-at = {2025-09-06T00:00:00.000+0200},
  author = {Mishra, Rahul and Gupta, Hari Prabhat},
  biburl = {https://www.bibsonomy.org/bibtex/246788c5af3d856433c1ef382834b2f2d/dblp},
  ee = {https://doi.org/10.1109/TMC.2025.3558874},
  interhash = {fe78b10f45a8e7d7f5fc601b880e8d47},
  intrahash = {46788c5af3d856433c1ef382834b2f2d},
  journal = {IEEE Trans. Mob. Comput.},
  keywords = {dblp},
  month = {09},
  number = 9,
  pages = {8245-8257},
  timestamp = {2025-09-15T07:43:28.000+0200},
  title = {Fed-NL: A Federated Learning Approach to Suppress Noise in Participant Datasets to Reduce Communication Rounds for Convergence.},
  url = {http://dblp.uni-trier.de/db/journals/tmc/tmc24.html#MishraG25a},
  volume = 24,
  year = 2025
}

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