supported by the National Key R&D Program of China (No.2020YFB1005500);the Leading-edge Technology Program of Jiangsu Natural Science Foundation (No.BK20202001);the Fundamental Research Funds for the Central Universities (No.XJSJ23040);the Postdoctoral Science Foundation of Jiangsu Province (No.2021K596C)。
Electronic auctions(e-auctions)remove the physical limitations of traditional auctions and bring this mechanism to the general public.However,most e-auction schemes involve a trusted auctioneer,which is not always cre...
supported in part by the National Natural Science Foundation of China(No.61702067);in part by the Natural Science Foundation of Chongqing(No.cstc2020jcyj-msxmX0343).
Zero trust architecture is an end-to-end approach for server resources and data security which contains identity authentication,access control,dynamic evaluation,and so on.This work focuses on authentication technolog...
supported by the National Natural Science Foundation of China under Grant No.61672195,61872372;the Open Foundation of State Key Laboratory of Cryptology No.MMKFKT201617;the National University of Defense Technology Grant No.ZK19-38.
Nowadays,Internet of Things(IoT)is widely deployed and brings great opportunities to change people's daily life.To realize more effective human-computer interaction in the IoT applications,the Question Answering(QA)sy...
supported by the National Natural Science Foundation of China under Grant No.U19B2021;the Key Research and Development Program of Shaanxi under Grant No.2020ZDLGY08-04;the Key Technologies R&D Program of He’nan Province under Grant No.212102210084;the Innovation Scientists and Technicians Troop Construction Projects of Henan Province.
As an emerging joint learning model,federated learning is a promising way to combine model parameters of different users for training and inference without collecting users’original data.However,a practical and effic...
supported by the National Natural Science Foundation of China under Grant 61972148.
The application of artificial intelligence technology in Internet of Vehicles(lov)has attracted great research interests with the goal of enabling smart transportation and traffic management.Meanwhile,concerns have be...
supported in part by Zhejiang Provincial Natural Science Foundation of China under Grant nos.LZ22F020002 and LY22F020003;National Natural Science Foundation of China under Grant nos.61772018 and 62002226;the key project of Humanities and Social Sciences in Colleges and Universities of Zhejiang Province under Grant no.2021GH017.
The fast proliferation of edge devices for the Internet of Things(IoT)has led to massive volumes of data explosion.The generated data is collected and shared using edge-based IoT structures at a considerably high freq...
supported by the National Natural Science Foundation of China(No.62206238);the Natural Science Foundation of Jiangsu Province(Grant No.BK20220562);the Natural Science Research Project of Universities in Jiangsu Province(No.22KJB520010).
Federated learning for edge computing is a promising solution in the data booming era,which leverages the computation ability of each edge device to train local models and only shares the model gradients to the centra...
Due to mobile Internet technology's rapid popularization,the Industrial Internet of Things(IIoT)can be seen everywhere in our daily lives.While IIoT brings us much convenience,a series of security and scalability issu...
Air pollution has become a global concern for many years.Vehicular crowdsensing systems make it possible to monitor air quality at a fine granularity.To better utilize the sensory data with varying credibility,truth d...
supported by the Key Project of Nature Science Research for the Universities of Anhui Province of China(No.KJ2020A0657);the National Science Foundation of China(No.61872002);the Key Research and Development Program of Anhui Province(No.202104a05020058).
Cross-Domain Recommendation(CDR)aims to solve data sparsity and cold-start problems by utilizing a relatively information-rich source domain to improve the recommendation performance of the data-sparse target domain.H...