Advancing distributed optimization for non-convex problems

“Mechanical and industrial engineering assistant professor Shahin Shahrampour has received a $500,000 NSF grant, in collaboration with Texas A&M University, to address ‘Consensus and Distributed Optimization in Non-Convex Environments With Applications to Networked Machine Learning.'”

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