Mechanism Design in Large Games: Incentives and Privacy

17 July 2012

Papers citing "Mechanism Design in Large Games: Incentives and Privacy"

21 / 21 papers shown

Title
On the Interplay between Social Welfare and Tractability of Equilibria Ioannis Anagnostides T. Sandholm 47 2 0 10 Jan 2025
Differentially Private Graph Diffusion with Applications in Personalized PageRanks Rongzhe Wei Eli Chien P. Li 42 5 0 22 Jun 2024
Differentially Private Synthetic Control Saeyoung Rho Rachel Cummings V. Misra 16 2 0 24 Mar 2023
Multi-Task Differential Privacy Under Distribution Skew Walid Krichene Prateek Jain Shuang Song Mukund Sundararajan Abhradeep Thakurta Li Zhang FedML 38 3 0 15 Feb 2023
Truthful Generalized Linear Models Yuan Qiu Jinyan Liu Di Wang FedML 45 3 0 16 Sep 2022
Learning in Stackelberg Games with Non-myopic Agents Nika Haghtalab Thodoris Lykouris Sloan Nietert Alexander Wei 13 29 0 19 Aug 2022
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning A. Bietti Chen-Yu Wei Miroslav Dudík John Langford Zhiwei Steven Wu FedML 20 43 0 10 Feb 2022
Differentially Private Regret Minimization in Episodic Markov Decision Processes Sayak Ray Chowdhury Xingyu Zhou 21 21 0 20 Dec 2021
Privately Publishable Per-instance Privacy Rachel Redberg Yu-Xiang Wang 29 17 0 03 Nov 2021
Private Multi-Task Learning: Formulation and Applications to Federated Learning Shengyuan Hu Zhiwei Steven Wu Virginia Smith FedML 27 19 0 30 Aug 2021
Adaptive Control of Differentially Private Linear Quadratic Systems Sayak Ray Chowdhury Xingyu Zhou Ness B. Shroff 22 10 0 26 Aug 2021
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates Steve Chien Prateek Jain Walid Krichene Steffen Rendle Shuang Song Abhradeep Thakurta Li Zhang 25 19 0 20 Jul 2021
Gradient-Leakage Resilient Federated Learning Wenqi Wei Ling Liu Yanzhao Wu Gong Su Arun Iyengar FedML 19 81 0 02 Jul 2021
Private Reinforcement Learning with PAC and Regret Guarantees G. Vietri Borja Balle A. Krishnamurthy Zhiwei Steven Wu 15 59 0 18 Sep 2020
Hybrid Differentially Private Federated Learning on Vertically Partitioned Data Chang Wang Jian Liang Mingkai Huang Bing Bai Kun Bai Hao Li FedML 15 39 0 06 Sep 2020
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence Tianqing Zhu Dayong Ye Wei Wang Wanlei Zhou Philip S. Yu SyDa 34 125 0 05 Aug 2020
SoK: Differential Privacies Damien Desfontaines Balázs Pejó 31 121 0 04 Jun 2019
Does Nash Envy Immunity Ching-Hua Yu 22 0 0 09 Mar 2017
Technical Privacy Metrics: a Systematic Survey Isabel Wagner D. Eckhoff 11 165 0 01 Dec 2015
Truthful Linear Regression Rachel Cummings Stratis Ioannidis Katrina Ligett FedML 16 61 0 10 Jun 2015
Privately Solving Linear Programs Justin Hsu Aaron Roth Tim Roughgarden Jonathan R. Ullman 49 58 0 15 Feb 2014