Weishan Zhang

TL;DR: To ensure client data privacy, a blockchain-based federated learning approach for device failure detection in IIoT is proposed, and a novel centroid distance weighted federated averaging algorithm taking into account the distance between positive class and negative class of each client data set is proposed.

TL;DR: The proposed novel dynamic fusion-based federated learning approach for medical diagnostic image analysis to detect COVID-19 infections is feasible and performs better than the default setting of federatedLearning in terms of model performance, communication efficiency, and fault tolerance.

TL;DR: This paper proposes a copy adjustable incentive scheme (CAIS), which adopts the virtual credit concept to stimulate selfish nodes to cooperate in data forwarding and demonstrates that CAIS copes well with node selfishness in community-based networks and outperforms other benchmark protocols with high data delivery ratio, low communication overhead, and short data delivery latency.

TL;DR: XVCL (XML-based Variant Configuration Language) is a meta-programming technique and tool that provides effective reuse mechanisms that blends with contemporary programming paradigms and complements other design techniques.

TL;DR: This paper aims to develop a method of analyzing equipment working condition based on the sensed data and building a prediction model for working status forecasting and designing a deep neural network model to predict equipment running data and improving the prediction accuracy by systematic feature engineering and optimal hyperparameter searching.