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FederatedScope provides the ModelZoo and AlgoZoo for convenient usage. And more models and algos are coming soon :)
FederatedScope adopts an event-driven architecture for flexibly and conveniently describing asynchronous federated learning with heterogeneous information exchanging, which frames an FL course into event-handler pairs. Please refer to our paper for more details about the characteristics and advantages of FederatedScope.
We are working on some internal real-world FL applications. And we have released the source code of FederatedScope for the public and welcome users to deploy the real-world FL application with FederatedScope.
请教两个问题:
1、federatedScope有没有提供像fate的federatedML那样的联邦算法库?fate的federatedMl在横向纵向lr、神经网络、决策树等等都有联邦算法提供可以直接使用
2、federatedScope的架构实现上相较fate有没有更优异的地方?
3、federatedScope有没有已经现网生产落地部署、或者是商用的案例?
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