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Published March 18, 2024 | Version v0.4.2
Software Open

APPFL: Advanced Privacy-Preserving Federated Learning

Authors/Creators

  • 1. Argonne National Laboratory
  • 2. ExxonMobil Technology and Engineering Company
  • 3. University of Illinois at Urbana-Champaign
  • 4. University of California, Santa Cruz
  • 5. University of Cambridge

Description

What's Changed

  • Data readiness report generation by @kaveenh in https://github.com/APPFL/APPFL/pull/163
  • Fix Issue #164 by @Zilinghan in https://github.com/APPFL/APPFL/pull/165
  • Make dr_metrics optional by @Zilinghan in https://github.com/APPFL/APPFL/pull/168
  • Major updates to docs by @kibaekkim in https://github.com/APPFL/APPFL/pull/172
  • Easy installation of SZ compressor using appfl-install-compressor by @Zilinghan

New Contributors

  • @kaveenh made their first contribution in https://github.com/APPFL/APPFL/pull/163

Full Changelog: https://github.com/APPFL/APPFL/compare/v0.4.1...v0.4.2

Notes

If you use this software, please cite it using the metadata from this file.

Files

APPFL/APPFL-v0.4.2.zip

Files (1.2 MB)

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md5:08453539688fe9ba19399c3e82519ffb
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Additional details

Related works

Is supplement to
Software: https://github.com/APPFL/APPFL/tree/v0.4.2 (URL)