Efficient On-Chip Learning for Optical Neural Networks Through
Power-Aware Sparse Zeroth-Order Optimization

Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization

21 December 2020

Papers citing "Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization"

15 / 15 papers shown

Title
Perturbation-efficient Zeroth-order Optimization for Hardware-friendly On-device Training Qitao Tan Sung-En Chang Rui Xia Huidong Ji Chence Yang ... Zheng Zhan Zhou Zou Y. Wang Jin Lu Geng Yuan 41 0 0 28 Apr 2025
Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks Yequan Zhao Xinling Yu Xian Xiao Zhengzhang Chen Z. Liu G. Kurczveil R. Beausoleil S. Liu Z. Zhang 56 0 0 17 Feb 2025
Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies Xubin Wang Weijia Jia 36 0 0 08 Jan 2025
Poor Man's Training on MCUs: A Memory-Efficient Quantized Back-Propagation-Free Approach Yequan Zhao Hai Li Ian Young Zheng-Wei Zhang MQ 39 2 0 07 Nov 2024
DOCTOR: Dynamic On-Chip Temporal Variation Remediation Toward Self-Corrected Photonic Tensor Accelerators Haotian Lu Sanmitra Banerjee Jiaqi Gu 40 0 0 05 Mar 2024
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning Yong Liu Zirui Zhu Chaoyu Gong Minhao Cheng Cho-Jui Hsieh Yang You MoE 37 16 0 24 Feb 2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark Yihua Zhang Pingzhi Li Junyuan Hong Jiaxiang Li Yimeng Zhang ... Wotao Yin Mingyi Hong Zhangyang Wang Sijia Liu Tianlong Chen 28 45 0 18 Feb 2024
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models Zhenqing Ling Daoyuan Chen Liuyi Yao Yaliang Li Ying Shen FedML 47 12 0 08 Feb 2024
Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training Yequan Zhao Xianwei Xiao Xinling Yu Z. Liu Zhixiong Chen G. Kurczveil R. Beausoleil Zheng-Wei Zhang 35 4 0 31 Dec 2023
DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training Aochuan Chen Yimeng Zhang Jinghan Jia James Diffenderfer Jiancheng Liu Konstantinos Parasyris Yihua Zhang Zheng-Wei Zhang B. Kailkhura Sijia Liu 30 43 0 03 Oct 2023
Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks Yequan Zhao Xinling Yu Zhixiong Chen Z. Liu Sijia Liu Zheng-Wei Zhang PINN 29 11 0 18 Aug 2023
$Physics-aware Differentiable Discrete Codesign for Diffractive Optical Neural Networks$ Physics-aware Differentiable Discrete Codesign for Diffractive Optical Neural Networks Yingjie Li Ruiyang Chen Weilu Gao Cunxi Yu 30 11 0 28 Sep 2022
A compact butterfly-style silicon photonic-electronic neural chip for hardware-efficient deep learning Chenghao Feng Jiaqi Gu Hanqing Zhu Zhoufeng Ying Zheng Zhao David Z. Pan Ray T. Chen 22 39 0 11 Nov 2021
L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization Jiaqi Gu Hanqing Zhu Chenghao Feng Zixuan Jiang Ray T. Chen David Z. Pan 23 28 0 27 Oct 2021
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits Hanrui Wang Yongshan Ding Jiaqi Gu Zirui Li Yujun Lin David Z. Pan Frederic T. Chong Song Han 33 170 0 22 Jul 2021