April 21, 2021
Mi Zhang honored at 2020 NeurlPS Federated Learning Workshop
A paper entitled “FedML: A Research Library and Benchmark for Federated Machine Learning" won the Best Paper Award at the 2020 NeurIPS (Neural Information Processing Systems) Workshop on Scalability, Privacy, and Security in Federated Learning.
The paper is led by researchers at University of Southern California and is co-authored by Associate Professor of Electrical and Computer and Engineering Mi Zhang and graduate student Xiao Zeng in Mi Zhang’s lab.
NeurIPS is the premium conference in artificial intelligence (AI), with more than 90,000 people attending online this year.
“Existing federated learning libraries cannot adequately support diverse algorithmic development,” Zhang said. “This work introduces an open research library and benchmark to facilitate algorithm development and fair performance comparison and provides an efficient and reproducible means for developing and evaluating federated learning algorithms that would benefit the federated learning research community,” he added.
At MSU, Zhang leads the Machine Learning Systems (MLSys) Group. His research topics lie at the intersection of edge systems and Artificial Intelligence, with particular focus on On-Device AI for Edge Devices (Mobile, AR/VR, Internet of Things (IoT)), Federated Learning, Automated Machine Learning (AutoML), Systems for Machine Learning, Machine Learning for Systems, and AI for Health.
Among his other recent honors:
• He was recognized in May 2020 with the Amazon AWS Machine Learning Research Award for his work on Automated Machine Learning. It was MSU’s first AWS Machine Learning Research Award.
• Zhang shared a Facebook Faculty Research Award with Ming Yan, an assistant professor of computational mathematics, science and engineering, in February 2020. Facebook selected 10 winners among 167 proposals to highlight ongoing research on next-gen machine learning systems. It was MSU’s first Facebook Faculty Research Award.
• Zhang was presented the 2020 MSU Innovation of the Year Award. He was recognized for advancing knowledge on hearing aids and working to improve their performance.
