智能决策与机器学习研究中心系列讲座（一）Learning theory for distributed learning 2019-10-30 题目: Learning theory for distributed learning报告人：林绍波，myball迈博体育平台appMyball迈博体育官方网站教授时间：2019年11月4日（周一)下午15：00-16：30地点：管院313会议室欢迎广大师生前来参加！报告内容: We analyze the performance of distributed learning based on a divide-and-conquer strategy. This scheme applies a specified learning algorithm to data subsets that are distributively stored on multiple servers to produce individual output functions, and then takes a weighted average of the individual output functions as a final estimator. We study that under which condition distributed learning is feasible and conduct several strategies such as semi-supervised distributed learning and communications to improve its performance further. 报告人简介：林绍波，myball迈博体育平台appMyball迈博体育官方网站教授，青年拔尖人才。博士毕业于myball迈博体育平台app数学与统计学院。曾先后于香港城市大学数学系、香港理工大学应用数学系、香港城市大学数据科学学院担任博士后、副研究员、研究员。研究方向为大数据分析、分布式计算及深度学习。主持或以核心成员参与国家自然科学基金9项。 在Journal of Machine Learning Research, Applied and Computational Harmonics Analysis, IEEE Transactions on Signal Processing, IEEE Transactions on Neural Networks and Learning Systems等著名期刊发表论文50余篇。