Mario Di Francesco - "Distributed Intelligence for Mobile Computing and the Internet of Things"

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.


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