Yinwei Dai

I am a Computer Science Ph.D. student at Princeton University, working with Prof. Ravi Netravali.

I obtained my M.S.E. and B.S.E. in Computer Science at University of Michigan , where I worked with Prof. Mosharaf Chowdhury and Prof. Harsha V. Madhyastha on projects related to networked systems, I also collaborated Prof. David Fouhey and B.S.E in Electrical and Compter Engineering from Shanghai Jiao Tong University

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My research interests are at the intersection of networked system and data-intensive computing.

We propose Auxo, a scalable FL system that enable the server to decompose the large-scale FL task into groups with smaller intra-cohort heterogeneity.

We introduce ModelKeeper, a cluster-scale model service framework to accelerate DNN training, by reducing the computation needed for achieving the same model performance via automated model transformation

We present FedScale, a diverse set of challenging and realistic benchmark datasets to facilitate scalable, comprehensive, and reproducible federated learning (FL) research.