A Federated Learning Approach to Traffic Matrix Estimation using Super-resolution Techniques

A Federated Learning Approach to Traffic Matrix Estimation using Super-resolution Techniques. Amoroso, R., Pappone, L., & Esposito, F. In 20th IEEE Consumer Communications & Networking Conference, CCNC 2023, Las Vegas, NV, USA, January 8-11, 2023, pages 473–476, 2023.

Paper doi bibtex

@inproceedings{DBLP:conf/ccnc/AmorosoPE23,
  author       = {Roberto Amoroso and
                  Lorenzo Pappone and
                  Flavio Esposito},
  title        = {A Federated Learning Approach to Traffic Matrix Estimation using Super-resolution
                  Techniques},
  booktitle    = {20th {IEEE} Consumer Communications {\&} Networking Conference, {CCNC}
                  2023, Las Vegas, NV, USA, January 8-11, 2023},
  pages        = {473--476},
  year         = {2023},
  crossref     = {DBLP:conf/ccnc/2023},
  url          = {https://doi.org/10.1109/CCNC51644.2023.10060210},
  doi          = {10.1109/CCNC51644.2023.10060210},
  timestamp    = {Tue, 21 Mar 2023 13:49:39 +0100},
  biburl       = {https://dblp.org/rec/conf/ccnc/AmorosoPE23.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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