Ashkan is a Reseach Scientist at Facebook AI. He is currently working on privacy-preserving machine learning and federated learning at Facebook AI, and is also a contributor to Opacus. Prior to joining Facebook AI, he was a Visiting Researcher at University of California, Berkeley. Ashkan holds a PhD in Computer Science from the University of Texas at Dallas.
Techniques such as Federated Learning and Split Learning aim to train distributed deep learning models without sharing private data. In Split Learning, when a neural network is partitioned and distributed across physical nodes, failure of physical nodes causes the failure of the neural units that are placed on those nodes, which results in a significant performance drop.
Ashkan Yousefpour, Brian Q. Nguyen, Siddartha Devic, Guanhua Wang, Aboudy Kreidieh, Hans Lobel, Alexandre M. Bayen, Jason P. Jue