报告题目：Lower bound for Byzantine stochastic convex optimization on heterogeneous data

主讲人：石乾坤

单位：中山大学

时间：12月13日10:30

腾讯ID：735-218-576

密码：1213

简介：Qiankun Shi is a first-year PhD student in the School of Computer Science and Engineering at SunYat-sen University, advised by Prof. Qing Ling. He is also advised by Prof. Xiao Wang at Pengcheng Laboratory. His research interest focuses on distributed optimization and constraint optimization. He received his Master degree from ShanghaiTech University under the supervision of Hao Wang in 2023 and had doing his undergraduate study at Sichuan University from 2015 to 2020.