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v0.7.9

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@makgyver makgyver released this 04 Jun 15:35
· 44 commits to main since this release
v0.7.9
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Release v0.7.9

This release fixes many minor issues and introduced multi-gpu parallel training for clients (experimental features).

New features

  • [Experimental] It is now possible to perform parallel clients training using multiple GPU (via torch.distributed)
  • Now the logging and the tracking of the evaluation performances are done using two different classes
  • The evaluation log now includes more information, like the support (number of clients involved in the computation of the mean/sum) and/or the round

Minor changes

  • Revised code formatting
  • Collection[Client] -> Sequence[Client]

Fixes

  • Fixed issue in FedProto related to the generator of client models
  • Fixed different sections in the documentation
  • Fixed issue with the logging of the evaluation performance
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