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。
传统相机拍摄视频时其实是以一定帧率进行采样，视频其实还是一串图片的集合，因此低帧率时会觉得视频卡，拍摄高速运动物体时会有运动模糊等等问题。然而你能想象这一切都可以被“脉冲视觉”这一前沿技术改变吗？
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: