BibTeX record series/lncs/LiYC20

download as .bib file

@incollection{DBLP:series/lncs/LiYC20,
  author       = {Ang Li and
                  Huanrui Yang and
                  Yiran Chen},
  editor       = {Qiang Yang and
                  Lixin Fan and
                  Han Yu},
  title        = {Task-Agnostic Privacy-Preserving Representation Learning via Federated
                  Learning},
  booktitle    = {Federated Learning - Privacy and Incentive},
  series       = {Lecture Notes in Computer Science},
  volume       = {12500},
  pages        = {51--65},
  publisher    = {Springer},
  year         = {2020},
  url          = {https://doi.org/10.1007/978-3-030-63076-8\_4},
  doi          = {10.1007/978-3-030-63076-8\_4},
  timestamp    = {Mon, 04 Jul 2022 14:19:36 +0200},
  biburl       = {https://dblp.org/rec/series/lncs/LiYC20.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.