Zhao, Xiaochuan, (University of California, Los Angeles) “Learning under Imperfections by Networked Agents” (2015) Advisor: Ali H. Sayed
Distributed learning deals with the problem of optimizing aggregate cost functions by networked agents from streaming data. This scenario arises in many contexts including distributed estimation, machine learning, resource allocation, and in the modeling of flocking and swarming behavior by biological networks.