Seminars & Colloquia
"Enable Intelligence on Billion Devices with Deep Learning"
Tuesday February 15, 2022 01:15 PM
Location: 3211, EB2 NCSU Centennial Campus
Zoom Meeting Info (Visitor parking instructions)
First, I will present my work on designing a task-agnostic privacy-respecting data crowdsourcing framework for learning a feature extractor that can hide user-specified private information from intermediate representations while retaining the high utility of extracted features. Those features can be safely aggregated to train deep neural works for any learning tasks.
Second, I will shift from the centralized setting to the distributed setting for the collaborative learning on edge devices. In particular, I will present my work on designing a personalized federated learning framework that can jointly improve communication and computation efficiency.
I will also outline future research directions for building billion-scale networked and trustworthy intelligent ecosystem, such as developing ambient intelligent applications, designing scalable and adaptive machine learning algorithms, intelligently employing heterogeneous hardware resources, etc.
Host: Muhammad Shahzad, CSC