MetaMorphosis: Task-oriented Privacy Cognizant Feature Generation for Multi-task Learning. (arXiv:2305.07815v1 [cs.CV])

With the growth of computer vision applications, deep learning, and edge
computing contribute to ensuring practical collaborative intelligence (CI) by
distributing the workload among edge devices and the cloud. However, running
separate single-task models on edge devices is inefficient regarding the
required computational resource and time. In this context, multi-task learning
allows leveraging a single deep learning model for performing multiple tasks,
such as semantic segmentation and depth estimation on incoming video frames.
This single processing pipeline generates common deep …

applications cloud cognizant computational computer computer vision computing context contribute deep learning devices edge edge computing edge devices growth intelligence privacy single task workload