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stat.ML2021
Learner-Private Convex Optimization
Jiaming Xu, Kuang Xu, Dana Yang
Convex optimization with feedback is a framework where a learner relies on iterative queries and feedback to arrive at the minimizer of a convex function. It has gained considerabl…
stat.ML2019
Optimal query complexity for private sequential learning against eavesdropping
Jiaming Xu, Kuang Xu, Dana Yang
We study the query complexity of a learner-private sequential learning problem, motivated by the privacy and security concerns due to eavesdropping that arise in practical applicat…