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math.OC2019
A Decentralized Primal-dual Method for Constrained Minimization of a Strongly Convex Function
Erfan Yazdandoost Hamedani, Necdet Serhat Aybat
We propose decentralized primal-dual methods for cooperative multi-agent consensus optimization problems over both static and time-varying communication networks, where only local…
math.OC2019★ 4 cited
A Randomized Block-Coordinate Primal-Dual Method for Large-scale Stochastic Saddle Point Problems
Erfan Yazdandoost Hamedani, Afrooz Jalilzadeh, Necdet Serhat Aybat
We consider (stochastic) convex-concave saddle point (SP) problems with high-dimensional decision variables, arising in various applications including machine learning problems. To…