Prof. Dr Ling Liu
Georgia Institute of Technology
IEEE Fellow
Editor in Chief, ACM Transactions on Internet Technology
Title:
Distributed AI in the New World of Device-Edge-Cloud Computing
Abstract:
The rapid growth of wireless mobile broadband communication networks has fueled new
capabilities in scalable device-to-edge-to-cloud continuum, ranging from increased data rates of
1~10 Gbps, ultra-low latencies of 1ms or less, larger coverage with massive number of devices
connected 24x7.
These advances have enabled exciting new edge native applications, such as
Augmented Reality/Virtual Reality (AR/VR), video analytics, and 3D on-device intelligence.
However, unlike Clouds, edge clients have little elasticity in computing and communication
resources.
Edge devices are intermittently connected to the Internet, inherently heterogeneous
in computing resource, and more exposed to privacy and security violations.
In this keynote, I will use on-device intelligence and distributed AI as two emerging and complimentary
distributed learning paradigms in navigating this device-edge-cloud continuum, while
considering resilience, privacy, and multi-tenancy of shared and heterogeneous resources.
I will describe alternative distributed learning architectures and optimization strategies, enabling
edge system adaptability and robustness, while preserving good application fidelity (level of
accuracy).
|