Ahmad Beirami

Ahmad is a Research Scientist at Facebook AI, contributing to conversational AI research. His current research interests include reinforcement learning, meta-learning, adversarial learning, federated learning, and privacy/fairness in machine learning. He received his BS degree in 2007 from Sharif University of Technology, Iran, and his PhD degree in 2014 from the Georgia Institute of Technology, in electrical and computer engineering. Ahmad is the recipient of the 2015 Sigma Xi Best PhD Thesis Award from Georgia Tech.

Ahmad's Publications

February 14, 2020


Fair Resource Allocation in Federated Learning

Federated learning involves training statistical models in massive, heterogeneous networks. Naively minimizing an aggregate loss function in such a network may disproportionately advantage or disadvantage some of the devices. In this work, we…

Tian Li, Maziar Sanjabi, Ahmad Beirami, Virginia Smith,

February 14, 2020