Stefan Vlaski

1. Distributed Learning in Non-Convex Environments -- Part I: Agreement at\n a Linear Rate
   2019/07/03 by Stefan Vlaski, Vlaski, Stefan, Ali H. Sayed +1 · 6 citations
   Computer Science · Engineering · #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Multiagent Systems (cs.MA) #Optimization and Control (math.OC) #Signal Processing (eess.SP) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #electronic engineering #information engineering
2. Distributed Learning in Non-Convex Environments—Part I: Agreement at a Linear Rate
   2021/01/01 by Stefan Vlaski, Ali H. Sayed · 5 citations
   Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Distributed Control Multi-Agent Systems
3. Distributed Learning in Non-Convex Environments -- Part II: Polynomial\n Escape from Saddle-Points
   2019/07/03 by Stefan Vlaski, Vlaski, Stefan, Ali H. Sayed +1 · 5 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Markov Chains and Monte Carlo Methods #Mathematical Biology Tumor Growth #Multiagent Systems (cs.MA) #Optimization and Control (math.OC) #Signal Processing (eess.SP) #Stochastic Gradient Optimization Techniques #electronic engineering #information engineering
4. Learned Finite-Time Consensus for Distributed Optimization
   2024/04/10 by Aaron Fainman, Stefan Vlaski, Fainman, Aaron +1 · 1 citation
   Computer Science · Engineering · #Advanced Control Systems Optimization #FOS: Electrical engineering #FOS: Mathematics #Modular Robots and Swarm Intelligence #Optimization and Control (math.OC) #Service-Oriented Architecture and Web Services #Signal Processing (eess.SP) #electronic engineering #information engineering
5. Decentralized Adversarial Training over Graphs
   2023/03/23 by Ying Cao, Elsa Rizk, Cao, Ying +5 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning