Search dblp for Publications

export results for "Partially-federated learning: A new approach to achieving privacy and effectiveness."

 download as .bib file

@article{DBLP:journals/isci/FisichellaLR22,
  author       = {Marco Fisichella and
                  Gianluca Lax and
                  Antonia Russo},
  title        = {Partially-federated learning: {A} new approach to achieving privacy
                  and effectiveness},
  journal      = {Inf. Sci.},
  volume       = {614},
  pages        = {534--547},
  year         = {2022},
  url          = {https://doi.org/10.1016/j.ins.2022.10.082},
  doi          = {10.1016/J.INS.2022.10.082},
  timestamp    = {Wed, 07 Dec 2022 00:00:00 +0100},
  biburl       = {https://dblp.org/rec/journals/isci/FisichellaLR22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}
a service of  Schloss Dagstuhl - Leibniz Center for Informatics

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.