Edge accelerator for lifelong deep learning using streaming linear discriminant analysis

Lifelong deep learning models are expected to continuously adapt and acquire new knowledge in dynamic environments. This capability is essential for numerous vision tasks in robotics and drones, and the models must be deployed on the edge to achieve real-time performance. We propose a FPGA accelerat...

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Bibliographic Details
Main Authors: Piyasena, Duvindu, Lam, Siew-Kei, Wu, Meiqing
Other Authors: College of Computing and Data Science
Format: Conference Paper
Language:English
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10356/178585