Collate: collaborative neural network learning for latency-critical edge systems

• Main Authors: Huai, Shuo, Liu, Di, Kong, Hao, Luo, Xiangzhong, Liu, Weichen, Subramaniam, Ravi, Makaya, Christian, Lin, Qian
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering::Software; Edge Intelligence; Federated Learning
• Online Access: https://hdl.handle.net/10356/165563
• Institution: Nanyang Technological University

Federated Learning (FL) empowers multiple clients to collaboratively learn a model, enlarging the training data of each client for high accuracy while protecting data privacy. However, when deploying FL in real-time edge systems, the heterogeneity of devices among systems has a severe impact on the...