@inproceedings{dee39256e35c47579ad7ac4558c6c7a6,
title = "Online training and pruning of photonic neural networks",
abstract = "Photonic neural networks have unique weight-actuating mechanisms and manufacturing variations, resulting in a suboptimal performance by conventional offline training. By incorporating a power-pruning regularization term in the loss function, we demonstrate an online training method that can overcome manufacturing errors and minimize power consumption.",
keywords = "Photonic neural network, neural network training",
author = "Weipeng Zhang and Tengji Xu and Jiawei Zhang and Shastri, {Bhavin J.} and Chaoran Huang and Paul Prucnal",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Photonics Conference, IPC 2023 ; Conference date: 12-11-2023 Through 16-11-2023",
year = "2023",
doi = "10.1109/IPC57732.2023.10360757",
language = "English (US)",
series = "2023 IEEE Photonics Conference, IPC 2023 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 IEEE Photonics Conference, IPC 2023 - Proceedings",
address = "United States",
}