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SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks
Chaoyang He · Emir Ceyani

Author Information

Chaoyang He (University of Southern California)

Chaoyang He is a Ph.D. Candidate in the CS department at the University of Southern California, Los Angeles, USA. He is advised by Salman Avestimehr (USC), Professor Mahdi Soltanolkotabi (USC), Professor Murali Annavaram (USC), and Professor Tong Zhang (HKUST). He also works closely with researchers/engineers at Google, Facebook, Amazon, and Tencent. Previously, He was an R&D Team Manager and Staff Software Engineer at Tencent (2014-2018), a Team Leader and Senior Software Engineer at Baidu (2012-2014), and a Software Engineer at Huawei (2011-2012). His research focuses on distributed/federated machine learning algorithms, systems, and applications. Chaoyang He has received a number of awards in academia and industry, including Amazon ML Fellowship (2021-2022), Qualcomm Innovation Fellowship (2021-2022), Tencent Outstanding Staff Award (2015-2016), WeChat Special Award for Innovation (2016), Baidu LBS Group Star Awards (2013), and Huawei Golden Network Award (2012). During his Ph.D. study, he has published papers at ICML, NeurIPS, CVPR, ICLR, MLSys, among others. Besides pure research, he also has R&D experience for Internet products and businesses such as Tencent Cloud, Tencent WeChat Automotive / AI in Car, Tencent Games, Tencent Maps, Baidu Maps, and Huawei Smartphone. He obtained three years of experience in R&D team management at Tencent between 2016-2018. With his advisors, he also co-founds FedML.ai, built based on a paper that won Best Paper Award at NeurIPS 2020 FL workshop. More details are available at his homepage: https://ChaoyangHe.com

Emir Ceyani (University of Southern California)

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