Distributed intelligence is a collaborative process to carry out
different types of learning and inference tasks. Such a process enables
heterogeneous and resource-constrained devices to realize diverse
applications and services. This talk specifically focuses on two
representative use cases of distributed intelligence in the context of
mobile computing and the Internet of Things (IoT). The first one is
improving user experience in mobile augmented reality through edge
computing. The second use case is partitioning a pre-trained deep neural
network for distributed inference in a fog network.
14/07/2022