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The Flower Team is excited to announce the release of Flower 1.11.1 stable, a patch release with a number of smaller improvements. Flower is a friendly framework for collaborative AI and data science. It makes novel approaches such as federated learning, federated evaluation, federated analytics, and fleet learning accessible to a wide audience of researchers and engineers.
Thanks to our contributors
We would like to give our special thanks to all the contributors who made the new version of Flower possible (in git shortlog order):
Charles Beauville, Chong Shen Ng, Daniel J. Beutel, Heng Pan, Javier, Robert Steiner, Yan Gao
Improvements
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Implement keys/values/items methods for TypedDict (#4146)
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Fix parsing of --executor-config if present (#4125)
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Adjust framework name in templates docstrings (#4127)
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Update flwr new Hugging Face template (#4169)
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Fix flwr new FlowerTune template (#4123)
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Add buffer time after ServerApp thread initialization (#4119)
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Handle unsuitable resources for simulation (#4143)
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Update example READMEs (#4117)
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Update SuperNode authentication docs (#4160)
Incompatible changes
None
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