FedCustom
PublicThis project implements hyper-tuned federated learning using the Flower framework, combining FedAvg, Logistic Regression, and a 2-layer CNN. It enables decentralized model training across devices, optimizing performance while ensuring data privacy and improving accuracy on both simple and complex tasks.
cnndecentralizedfedavgfederated-learningflowerhypertuningjupyter-notebooklogistic-regressionmachine-learningpython
Creat：2024-04-20T01:21:05
Update：2025-02-19T19:09:49
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