Purdue PhD student Tong Yao wins poster competition at MMLS 2023
Tong Yao, a PhD student in the Elmore Family School of Electrical and Computer Engineering, recently received the Outstanding Poster Award at the Midwest Machine Learning Symposium (MMLS 2023) in Chicago, IL. Yao is a student of Shreyas Sundaram, Marie Gordon Associate Professor of Electrical and Computer Engineering.
Yao presented a poster entitled “Robust Online and Distributed Mean Estimation in the Presence of Adversarial Data Corruption.” This research develops online and distributed algorithms for multi-agent cooperative learning systems, enabling robust mean estimation in an online and distributed manner, even in the presence of arbitrarily corrupted data. This advances the field by offering practical solutions to data corruption in real-time inference and multi-agent scenarios.
“It was an honor to showcase our work at the Midwest Machine Learning Symposium and to receive the Outstanding Poster Award,” says Yao. “This recognition validates the hard work invested in our research and serves as an inspiration for me to continually push the boundaries in this field of research.”
MMLS 2023 convened regional machine learning researchers for discussions and debates, to foster cross-institutional collaboration, and to showcase the collective talent of ML researchers at all career stages. Five Outstanding Poster Awards were selected out of 141 submissions.