Lowy, Andrew

1. Efficient Search of First-Order Nash Equilibria in Nonconvex-Concave\n Smooth Min-Max Problems
   2020/02/18 by Dmitrii M. Ostrovskii, Andrew M. Lowy, Ostrovskii, Dmitrii M. +3 · 4 citations
   Computer Science · #Optimization and Variational Analysis
2. Private Federated Learning Without a Trusted Server: Optimal Algorithms\n for Convex Losses
   2021/06/17 by Andrew M. Lowy, Lowy, Andrew, Meisam Razaviyayn +1 · 3 citations
   Computer Science · Medicine · #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Patient Dignity and Privacy #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
3. Private Non-Convex Federated Learning Without a Trusted Server
   2022/03/13 by Andrew M. Lowy, Ali Ghafelebashi, Lowy, Andrew +3 · 3 citations
   Computer Science · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
4. Stochastic Differentially Private and Fair Learning
   2022/10/17 by Lowy, Andrew, Gupta, Devansh, Razaviyayn, Meisam · 3 citations
   #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Optimal Differentially Private Model Training with Public Data
   2023/06/26 by Lowy, Andrew, Li, Zeman, Huang, Tianjian +1 · 2 citations
   #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
6. Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks?
   2024/02/14 by Lowy, Andrew, Li, Zhuohang, Liu, Jing +3 · 1 citation
   #68P27 #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
7. How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization
   2024/02/17 by Lowy, Andrew, Ullman, Jonathan, Wright, Stephen J. · 1 citation
   #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
8. Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses
   2024/07/12 by Changyu Gao, Andrew M. Lowy, Gao, Changyu +5 · 1 citation
   Computer Science · #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques