Opto-Electronic Advances, Volume. 7, Issue 4, 230182(2024)

Efficient stochastic parallel gradient descent training for on-chip optical processor

Yuanjian Wan1...2,†, Xudong Liu1,2,†, Guangze Wu1,2, Min Yang1,2, Guofeng Yan1,2, Yu Zhang1,2, and Jian Wang12,* |Show fewer author(s)
Author Affiliations
  • 1Wuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
  • 2Optics Valley Laboratory, Wuhan 430074, China
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    References(50)

    [14] NP Diamantopoulos, B Shariati, I Tomkos. On the power consumption of MIMO processing and its impact on the performance of SDM networks, 1-3(2017).

    [32] HL Zhou, YH Zhao, GX Xu et al. Chip-scale optical matrix computation for pagerank algorithm. IEEE J Sel Top Quantum Electron, 26, 8300910(2020).

    [39] R Tanomura, R Tang, G Soma et al. All-optical dual-polarization MIMO processor based on integrated optical unitary converter, 1-4(2022).

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    Yuanjian Wan, Xudong Liu, Guangze Wu, Min Yang, Guofeng Yan, Yu Zhang, Jian Wang. Efficient stochastic parallel gradient descent training for on-chip optical processor[J]. Opto-Electronic Advances, 2024, 7(4): 230182

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    Paper Information

    Category: Research Articles

    Received: Sep. 30, 2023

    Accepted: Feb. 4, 2024

    Published Online: Jul. 19, 2024

    The Author Email: Wang Jian (JWang)

    DOI:10.29026/oea.2024.230182

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