Shypd.aiThe largest open index of AI toolsFL-bench is an open-source benchmark for federated learning methods, allowing researchers to evaluate and compare various algorithms. It supports traditional and personalized FL methods, and welcomes community contributions.
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FL-bench is a comprehensive open-source benchmark dedicated to federated learning, providing a robust platform for researchers and developers to evaluate and compare different federated learning algorithms. It supports a wide array of methods, including traditional approaches like FedAvg, FedProx, and SCAFFOLD, as well as personalized FL methods such as pFedSim and FedPer. The benchmark also includes methods for FL domain generalization and differential privacy. Users can easily prepare environments, run experiments, and monitor results using visdom or tensorboard. FL-bench offers extensive customization options for FL methods, datasets, and models, making it a flexible tool for advancing federated learning research. It also supports parallel training via Ray for improved efficiency.
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