摘抄 Federated learning (aka collaborative learning) is a machine learning technique that trains an algorithm across multiple decentralized edge devices or servers holding local data samples, without exchanging their data samples. 不同于: 传统centralized ML techniques 所有数据上传到一个sever. 经典的decentralized appro