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federated-learning-sdk

Federated learning (also known as collaborative learning) is a machine learning technique that trains an algorithm across multiple decentralized edge devices or servers holding local data samples, without exchanging them. This approach stands in contrast to traditional centralized machine learning techniques where all the local datasets are uploaded to one server, as well as to more classical decentralized approaches which often assume that local data samples are identically distributed.

hello-world

a new start

primia

PriMIA: Privacy-preserving Medical Image Analysis

private-ai

Repo for Udacity's Secure & Private AI course

pysyft

A library for encrypted, privacy preserving deep learning

secureaggregation

An implementation of Secure Aggregation algorithm based on "Practical Secure Aggregation for Privacy-Preserving Machine Learning (Bonawitz et. al)" in Python.

ssm_demo01

黑马程序员2022最新SSM框架教程_Spring+SpringMVC+Maven高级+SpringBoot+MyBatisPlus企业实用开发技术

test1

xiong.zhuo.template

工作-资源及模板代码