An Introduction to Federated Learning: Working, Types, Benefits and Limitations

Dishita Naik, Nitin Naik. An Introduction to Federated Learning: Working, Types, Benefits and Limitations. In Nitin Naik, Paul Jenkins, Paul Grace, Longzhi Yang, Shaligram Prajapat, editors, Advances in Computational Intelligence Systems - Contributions Presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), September 6-8, 2023, Birmingham, UK. Volume 1453 of Advances in Intelligent Systems and Computing, pages 3-17, Springer, 2023. [doi]

@inproceedings{NaikN23-0,
  title = {An Introduction to Federated Learning: Working, Types, Benefits and Limitations},
  author = {Dishita Naik and Nitin Naik},
  year = {2023},
  doi = {10.1007/978-3-031-47508-5_1},
  url = {https://doi.org/10.1007/978-3-031-47508-5_1},
  researchr = {https://researchr.org/publication/NaikN23-0},
  cites = {0},
  citedby = {0},
  pages = {3-17},
  booktitle = {Advances in Computational Intelligence Systems - Contributions Presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), September 6-8, 2023, Birmingham, UK},
  editor = {Nitin Naik and Paul Jenkins and Paul Grace and Longzhi Yang and Shaligram Prajapat},
  volume = {1453},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-031-47508-5},
}