895 citations · 5.3k across the 104 of their papers we have counts for
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Dynamic Differential-Privacy Preserving SGD
Jian Du, Song Li, Xiangyi Chen +2
The vanilla Differentially-Private Stochastic Gradient Descent (DP-SGD), including DP-Adam and other variants, ensures the privacy of training data by uniformly distributing privac…
Minimax Problems with Coupled Linear Constraints: Computational Complexity, Duality and Solution Methods
Ioannis Tsaknakis, Mingyi Hong, Shuzhong Zhang
In this work we study a special minimax problem where there are linear constraints that couple both the minimization and maximization decision variables. The problem is a generaliz…
Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees
Siliang Zeng, Tianyi Chen, Alfredo Garcia +1
Multi-agent reinforcement learning (MARL) has attracted much research attention recently. However, unlike its single-agent counterpart, many theoretical and algorithmic aspects of…
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence
Boyi Liu, Jiayang Li, Zhuoran Yang +4
To regulate a social system comprised of self-interested agents, economic incentives are often required to induce a desirable outcome. This incentive design problem naturally posse…
Primal-Dual First-Order Methods for Affinely Constrained Multi-Block Saddle Point Problems
Junyu Zhang, Mengdi Wang, Mingyi Hong +1
We consider the convex-concave saddle point problem , where the decision variables and/or subj…
Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective
Haoran Sun, Wenqiang Pu, Xiao Fu +2
There has been a growing interest in developing data-driven, and in particular deep neural network (DNN) based methods for modern communication tasks. For a few popular tasks such…