Article citationsMore>>

Chew, Y.J., Wong, K.S. and Ooi, S.Y. (2017) Privacy Protection in Machine Learning: With the State of the Art for Private Decision Tree. Security and Authentication: Perspectives, Management and Challenges. Nova Science Publishers, Inc., Hanover, 13-39.

has been cited by the following article:

• TITLE: A Smart Robot Training Data Acquisition and Learning Process Recording System Based on Blockchain

  AUTHORS: Kun Wang, Chen Yang, Tao Wang

  KEYWORDS: Smart Robot, Learning Data, Blockchain, Privacy

  JOURNAL NAME: Open Access Library Journal, Vol.7 No.9, September 1, 2020

  ABSTRACT: The Internet of Things and artificial intelligence have developed rapidly in recent decades, and intelligent robots have been used in various fields of production and life. There are many requirements for the functions, performance and intelligence of smart robots. Many researchers are committed to how intelligent robots can learn more efficiently and develop new functions. How to obtain the learning data while protecting the privacy of users and how to record the learning process are two major problems faced by researchers. This article proposes a smart robot training data acquisition and learning process recording system based on blockchain to ensure that the training information of robot is kept credible and to provide users with privacy protection.