Ashkan Yousefpour

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.

Ashkan's Publications



ResiliNet: Failure-Resilient Inference in Distributed Neural Networks

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