Learning theory for distributed learning

讲座名称: Learning theory for distributed learning
讲座时间 2018-11-04
讲座地点 管院313会议室
讲座人 林绍波
讲座内容

报告题目: Learning theory for distributed learning
报告时间: 2019年11月4日(周一)下午15: 00-16: 30
报告地点: 管院313会议室
报告人: 林绍波
报告内容:
威尼斯官方网站  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.

讲座人介绍

林绍波,西安交通大学管理学院教授,青年拔尖人才。博士毕业于西安交通大学数学与统计学院。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。

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