Federated deep learning for edge computing (part I)

• Main Author: See, Ian Soong En
• Other Authors: Tan Rui
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2020
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Engineering::Computer science and engineering::Computer systems organization::Computer system implementation
• Online Access: https://hdl.handle.net/10356/138113
• Institution: Nanyang Technological University

With the increase in various usages of AI, comes new forms of training and deployment. One such advancement is coined as ‘federated learning’. Federated learning is an environment which consists of a central node that is connected through a network setting to multiple edge nodes to enable asynchr...