12月22日,有幸听了南京大学周志华教授题为“新型机器学习神经元模型的探索”的讲座。现场热闹非凡,大家像追星一样拿着“西瓜书”找周教授签名。周教授讲得依旧循循善诱,由浅入深,听得我很入迷,故作此记。
Summary
The paper argue that the efficiency and data privacy of Federated Learning are non-orthogonal from the perspective of model training, which means they are restricting each other. So that the paper strictly formulates the problem at first, and designs a cloud-edge-end hierarchical FL system with adaptive control algorithm embedding a two-level Differential Protection method to relieve both the resource and privacy concerns. The design follows the following ideas: