Year
Month
(Preprint) Data Pricing in Machine Learning Pipelines
Zicun Cong ¹, Xuan Luo ¹, Pei Jian 裴健 ¹, Feida Zhu 朱飞达 ², Yong Zhang ³
¹ Simon Fraser University, Burnaby, Canada
² Singapore Management University, Singapore
³ Huawei Technologies Canada, Burnaby, Canada
arXiv, 2021-08-18
Abstract

Machine learning is disruptive. At the same time, machine learning can only succeed by collaboration among many parties in multiple steps naturally as pipelines in an eco-system, such as collecting data for possible machine learning applications, collaboratively training models by multiple parties and delivering machine learning services to end users. Data is critical and penetrating in the whole machine learning pipelines.

As machine learning pipelines involve many parties and, in order to be successful, have to form a constructive and dynamic eco-system, marketplaces and data pricing are fundamental in connecting and facilitating those many parties. In this article, we survey the principles and the latest research development of data pricing in machine learning pipelines. We start with a brief review of data marketplaces and pricing desiderata. Then, we focus on pricing in three important steps in machine learning pipelines.

To understand pricing in the step of training data collection, we review pricing raw data sets and data labels. We also investigate pricing in the step of collaborative training of machine learning models, and overview pricing machine learning models for end users in the step of machine learning deployment. We also discuss a series of possible future directions.
Data Pricing in Machine Learning Pipelines_1
Data Pricing in Machine Learning Pipelines_2
Data Pricing in Machine Learning Pipelines_3
Data Pricing in Machine Learning Pipelines_4
  • High-resolution tumor marker detection based on microwave photonics demodulated dual wavelength fiber laser sensor
  • Jie Hu, Weihao Lin, Liyang Shao, Chenlong Xue, Fang Zhao, Dongrui Xiao, Yang Ran, Yue Meng, Panpan He, Zhiguang Yu, Jinna Chen, Perry Ping Shum
  • Opto-Electronic Advances
  • 2024-12-16
  • High performance laser induced plasma assisted ablation by GHz burst mode femtosecond pulses
  • Jingbo Yin, Yulong Zhao, Minghui Hong
  • Opto-Electronic Advances
  • 2024-12-16
  • Sequential harmonic spin–orbit angular momentum generation in nonlinear optical crystals
  • Yutao Tang, Zixian Hu, Junhong Deng, Kingfai Li, Guixin Li
  • Opto-Electronic Advances
  • 2024-12-16
  • Design, setup, and facilitation of the speckle structured illumination endoscopic system
  • Elizabeth Abraham, Zhaowei Liu
  • Opto-Electronic Science
  • 2024-12-13
  • Ultra-high-Q photonic crystal nanobeam cavity for etchless lithium niobate on insulator (LNOI) platform
  • Zhi Jiang, Cizhe Fang, Xu Ran, Yu Gao, Ruiqing Wang, Jianguo Wang, Danyang Yao, Xuetao Gan, Yan Liu, Yue Hao, Genquan Han
  • Opto-Electronic Advances
  • 2024-10-31
  • Advanced biological imaging techniques based on metasurfaces
  • Yongjae Jo, Hyemi Park, Hyeyoung Yoon, Inki Kim
  • Opto-Electronic Advances
  • 2024-10-31
  • Orthogonal matrix of polarization combinations: concept and application to multichannel holographic recording
  • Shujun Zheng, Jiaren Tan, Hongjie Liu, Xiao Lin, Yusuke Saita, Takanori Nomura, Xiaodi Tan
  • Opto-Electronic Advances
  • 2024-10-23
  • Streamlined photonic reservoir computer with augmented memory capabilities
  • Changdi Zhou, Yu Huang, Yigong Yang, Deyu Cai, Pei Zhou, Kuenyao Lau, Nianqiang Li, Xiaofeng Li
  • Opto-Electronic Advances
  • 2024-10-22
  • High-precision multi-focus laser sculpting of microstructured glass
  • Kang Xu, Peilin Huang, Lingyu Huang, Li Yao, Zongyao Li, Jiantao Chen, Li Zhang, Shaolin Xu
  • Opto-Electronic Advances
  • 2024-10-09
  • Multi-physical field null medium: new solutions for the simultaneous control of EM waves and heat flow
  • Sailing He, Ruili Zhang, Junbo Liang
  • Opto-Electronic Advances
  • 2024-09-30
  • Adaptive decentralized AI scheme for signal recognition of distributed sensor systems
  • Shixiong Zhang, Hao Li, Cunzheng Fan, Zhichao Zeng, Chao Xiong, Jie Wu, Zhijun Yan, Deming Liu, Qizhen Sun
  • Opto-Electronic Advances
  • 2024-09-29
  • Data-driven polarimetric approaches fuel computational imaging expansion
  • Sylvain Gigan
  • Opto-Electronic Advances
  • 2024-09-28



  • Unbiased IoU for Spherical Image Object Detection                                Digital Predistortion for Concurrent Dual-band Millimeter Wave Analog Multibeam Transmitters
    About
    |
    Contact
    |
    Copyright © PubCard