… holding the right to likeness: (1) using publicly available images of the person holding the
right to likeness to the extent necessary for personal study, art appreciation, classroom …

… An extensive survey on similar technologies like machine learning, artificial intelligence,
and … techniques are proposed by different authors to solve the privacy preservation issue. …

… A survey on data collection for machine learning: A big data — AI integration perspective.
IEEE Transactions on Knowledge and Data Engineering, DOI: 10.1109/TKDE.2019.2946162 …

… 性分析,论证表明PPRFL(privacy-preserving robust federated learning)可以有效保护模型参数
… ,收敛效率较PPFDL (privacy-preserving federated deep learning with irregular users)提高1.4 …

… First, to reveal the multiple uncertain factors affecting the charging behavior of electric vehicles
(… Privacy preserving load control of residential microgrid via deep reinforcement learning. …

… , secure federated learning, etc. Based on the above two … traditional machine learning
methods and existing deep learning … realizing a secure federated deep learning, we expatiate the …

… works of using reinforcement learning to solve integrated energy … management of a parallel
hybrid electric vehicle. IEEE/ASME … A privacy preserving distributed optimization algorithm for …

… Then, we analyze privacy preserved by our method. We analyze the size of output data and
… We adopted dataset from UCI Machine Learning Repository3), which has been extensively …

… the privacy protection algorithms for machine learning were … that the privacy preservation
on machine learning needs to … A survey of quantification of privacy preserving data mining …

… The goal focused in this study is to use the vehicle-to-everything functions … hybrid electric
vehicles (HEVs) and all-electric vehicles (AEVs). AEVs are divided into battery electric vehicles (…