Michael Crawshaw

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Michael

About Me

I am a Ph.D. candidate in the department of Computer Science at George Mason University, advised by Professor Mingrui Liu. My research is in the theory of optimization for machine learning. In particular, I am working on problems in distributed optimization/federated learning, with the goal of designing optimization algorithms with provable guarantees of computation and communication efficiency under realistic theoretical assumptions. Before studying at George Mason, I received a B.S. in mathematics and computer science from Ohio State University.

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