WwZzz/FLGo-Bench
Produce results of federated algorithms on various benchmarks
This tool helps machine learning researchers evaluate the performance of different federated learning algorithms on various benchmark datasets. You input a specific federated learning task, an algorithm, and its configuration, and it outputs detailed performance metrics and results, often visualized as plots and tables. It's designed for researchers working on federated learning to systematically compare and understand algorithm behavior.
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Use this if you are a researcher who needs to rigorously benchmark federated learning algorithms across diverse datasets and configurations to analyze their effectiveness.
Not ideal if you are a practitioner looking for a ready-to-deploy federated learning solution for a specific application, as this tool focuses on algorithmic research and benchmarking.
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16
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Language
Python
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Last pushed
Oct 11, 2024
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