Split Learning: A Resource Efficient Model and Data Parallel Approach for Distributed Deep Learning

Praneeth Vepakomma, Ramesh Raskar. Split Learning: A Resource Efficient Model and Data Parallel Approach for Distributed Deep Learning. In Heiko Ludwig, Nathalie Baracaldo, editors, Federated Learning - A Comprehensive Overview of Methods and Applications. pages 439-451, Springer, 2022. [doi]

@incollection{VepakommaR22,
  title = {Split Learning: A Resource Efficient Model and Data Parallel Approach for Distributed Deep Learning},
  author = {Praneeth Vepakomma and Ramesh Raskar},
  year = {2022},
  doi = {10.1007/978-3-030-96896-0_19},
  url = {https://doi.org/10.1007/978-3-030-96896-0_19},
  researchr = {https://researchr.org/publication/VepakommaR22},
  cites = {0},
  citedby = {0},
  pages = {439-451},
  booktitle = {Federated Learning - A Comprehensive Overview of Methods and Applications},
  editor = {Heiko Ludwig and Nathalie Baracaldo},
  publisher = {Springer},
  isbn = {978-3-030-96896-0},
}