Mani Malek

Mani is an Engineer & Scientist at Facebook. He holds a PhD from the University of British Columbia on Multimedia Copy Detection under the bigger title of Information Forensics and Security. He started as an algorithm lead on Similarity Understanding Infra at Facebook. Since early 2020, and he joined Facebook research working in the area of privacy in ML mostly focusing on Federated Learning.

Mani's Work

Mani's Publications

July 24, 2021

CORE MACHINE LEARNING

SYSTEMS RESEARCH

Federated Learning with Buffered Asynchronous Aggregation

Federated Learning (FL) trains a shared model across distributed devices while keeping the training data on the devices. Most FL schemes are synchronous: they perform a synchronized aggregation of model updates from individual devices. …

John Nguyen, Kshitiz Malik, Hongyuan Zhan, Ashkan Yousefpour, Michael Rabbat, Mani Malek, Dzmitry Huba

July 24, 2021