iFLearner is a powerful and lightweight federated learning framework that provides a computing framework based on data privacy security protection, mainly for federated modeling in deep learning scenarios. Its security bottom layer supports various encryption technologies such as homomorphic encryption, secret sharing, and differential privacy. The algorithm layer supports various deep learning network models, and supports mainstream frameworks such as Tensorflow, Mxnet, and Pytorch.

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