A Benchmark for Federated Settings

LEAF is a benchmarking framework for learning in federated settings, with applications including federated learning, multi-task learning, meta-learning, and on-device learning. Future releases will include additional tasks and datasets. Please contact Sebastian Caldas with questions or to contribute to the benchmark.

Get Started GitHub


Please cite the following if you use LEAF:

LEAF: A Benchmark for Federated Settings
Sebastian Caldas, Sai Meher Karthik Duddu, Peter Wu, Tian Li,
Jakub Konečný, H. Brendan McMahan, Virginia Smith, and Ameet Talwalkar.
Workshop on Federated Learning for Data Privacy and Confidentiality (2019).