CITATION.cff

cff-version: 1.2.0
title: pfl
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Filip
    family-names: Granqvist
    affiliation: Apple
  - given-names: Congzheng
    family-names: Song
    affiliation: Apple
  - given-names: Áine
    family-names: Cahill
    affiliation: Apple
  - given-names: Rogier
    family-names: van Dalen
    orcid: "https://orcid.org/0000-0002-9603-5771"
  - given-names: Martin
    family-names: Pelikan
    affiliation: Apple
  - given-names: Yi Sheng
    family-names: Chan
    affiliation: Apple
  - given-names: Xiaojun
    family-names: Feng
    affiliation: Apple
  - given-names: Natarajan
    family-names: Krishnaswami
    affiliation: Apple
  - given-names: Vojta
    family-names: Jina
    affiliation: Apple
  - given-names: Mona
    family-names: Chitnis
    affiliation: Apple
repository-code: 'https://github.com/apple/pfl-research'
abstract: >-
  pfl: simulation framework for accelerating research in Private Federated Learning
license: MIT
preferred-citation:
  type: article
  authors:
  - given-names: Filip
    family-names: Granqvist
    affiliation: Apple
  - given-names: Congzheng
    family-names: Song
    affiliation: Apple
  - given-names: Áine
    family-names: Cahill
    affiliation: Apple
  - given-names: Rogier
    family-names: van Dalen
    orcid: "https://orcid.org/0000-0002-9603-5771"
  - given-names: Martin
    family-names: Pelikan
    affiliation: Apple
  - given-names: Yi Sheng
    family-names: Chan
    affiliation: Apple
  - given-names: Xiaojun
    family-names: Feng
    affiliation: Apple
  - given-names: Natarajan
    family-names: Krishnaswami
    affiliation: Apple
  - given-names: Vojta
    family-names: Jina
    affiliation: Apple
  - given-names: Mona
    family-names: Chitnis
    affiliation: Apple
  doi: "10.48550/arXiv.2404.06430"
  journal: "arXiv preprint arXiv:2404.06430"
  month: 4
  title: "pfl-research: simulation framework for accelerating research in Private Federated Learning"
  year: 2024