Journal: Proceedings of the IEEE

Volume 108, Issue 11

1863 -- 1868Usman A. Khan, Waheed U. Bajwa, Angelia Nedic, Michael G. Rabbat, Ali H. Sayed. Optimization for Data-Driven Learning and Control
1869 -- 1889Ran Xin, Shi Pu, Angelia Nedic, Usman A. Khan. A General Framework for Decentralized Optimization With First-Order Methods
1890 -- 1905Anit Kumar Sahu, Soummya Kar. Decentralized Zeroth-Order Constrained Stochastic Optimization Algorithms: Frank-Wolfe and Variants With Applications to Black-Box Adversarial Attacks
1906 -- 1922Aryan Mokhtari, Alejandro Ribeiro. Stochastic Quasi-Newton Methods
1923 -- 1938Dusan Jakovetic, Dragana Bajovic, João M. F. Xavier, José M. F. Moura. Primal-Dual Methods for Large-Scale and Distributed Convex Optimization and Data Analytics
1939 -- 1952Guilherme França, José Bento 0001. Distributed Optimization, Averaging via ADMM, and Network Topology
1953 -- 1967Hassan Jaleel, Jeff S. Shamma. Distributed Optimization for Robot Networks: From Real-Time Convex Optimization to Game-Theoretic Self-Organization
1968 -- 1983Robert M. Gower, Mark Schmidt 0001, Francis R. Bach, Peter Richtárik. Variance-Reduced Methods for Machine Learning
1984 -- 2012Matthew S. Nokleby, Haroon Raja, Waheed U. Bajwa. Scaling-Up Distributed Processing of Data Streams for Machine Learning
2013 -- 2031Mahmoud Assran, Arda Aytekin, Hamid Reza Feyzmahdavian, Mikael Johansson 0001, Michael G. Rabbat. Advances in Asynchronous Parallel and Distributed Optimization
2032 -- 2048Andrea Simonetto, Emiliano Dall'Anese, Santiago Paternain, Geert Leus, Georgios B. Giannakis. Time-Varying Convex Optimization: Time-Structured Algorithms and Applications
2049 -- 2066Vincenzo Matta, Augusto Santos, Ali H. Sayed. Graph Learning Under Partial Observability
2067 -- 2082Huan Li 0007, Cong Fang, Zhouchen Lin. Accelerated First-Order Optimization Algorithms for Machine Learning
2083 -- 2096Benjamin Lathrop Brown. The bell versus gray telephone dispute: resolving a 144-year-old controversy [scanning our past]