The National Science Foundation (NSF) Engineering program (CFDA 47.041) has awarded a $250,000 project grant to The Ohio State University to comprehensively study online bilevel optimization. The primary goals of this 3-year project are to (i) speed up online bilevel algorithms, improve their scalability, and ensure their performance, and (ii) explore two real-world applications to leverage the advantages of online bilevel optimization in solving practical problems. The research innovations will focus on: (i) the algorithmic and analytical foundation for online bilevel optimization; (ii) a novel approach for online robust adversarial training; (iii) accelerated online multi-agent meta-learning design; and (iv) extensive experiments to validate the proposed approaches. This project will also provide training and research opportunities, with a commitment to recruiting female, minority, and underrepresented students to promote their engineering careers.
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