0.13.0

What's new?

• New example: PyTorch From Centralized To Federated (#549)
• Improved documentation
  • New documentation theme (#551)
  • New API reference (#554)
  • Updated examples documentation (#549)
  • Removed obsolete documentation (#548)

Bugfix:

• Server.fit does not disconnect clients when finished, disconnecting the clients is now handled in flwr.server.start_server (#553, #540).

0.12.0

Important changes:

• Added an example for embedded devices (#507)
• Added a new NumPyClient (in addition to the existing KerasClient) (#504, #508)
• Deprecated flwr_examples package and started to migrate examples into the top-level examples directory (#494, #512)

0.11.0

Incompatible changes:

• Renamed strategy methods (#486) to unify the naming of Flower's public APIs. Other public methods/functions (e.g., every method in Client, but also Strategy.evaluate) do not use the on_ prefix, which is why we're removing it from the four methods in Strategy. To migrate rename the following Strategy methods accordingly:
  • on_configure_evaluate => configure_evaluate
  • on_aggregate_evaluate => aggregate_evaluate
  • on_configure_fit => configure_fit
  • on_aggregate_fit => aggregate_fit

Important changes:

• Deprecated DefaultStrategy (#479). To migrate use FedAvg instead.
• Simplified examples and baselines (#484).
• Removed presently unused on_conclude_round from strategy interface (#483).
• Set minimal Python version to 3.6.1 instead of 3.6.9 (#471).
• Improved Strategy docstrings (#470).

0.10.0

v0.10.0

Upgrade pip to 20.2.4 (#466)