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EPRFL:An Efficient Privacy-Preserving and Robust Federated Learning Scheme for Fog Computing: 《China Communications》2025年第4期202-222,共21页Ke Zhijie Xie Yong Syed Hamad Shirazi Li Haifeng; supported in part by the National Natural Science Foundation of China(62462053);the Science and Technology Foundation of Qinghai Province(2023-ZJ-731);the Open Project of the Qinghai Provincial Key Laboratory of Restoration Ecology in Cold Area(2023-KF-12);the Open Research Fund of Guangdong Key Laboratory of Blockchain Security,Guangzhou University。; Federated learning(FL)is a distributed machine learning paradigm that excels at preserving data privacy when using data from multiple parties.When combined with Fog Computing,FL offers enhanced capabilities for machin...; 关键词：federated learning fog computing internet of things PRIVACY-PRESERVING ROBUSTNESS

Robustness of ferromagnetism in van der Waals magnet Fe_(3)GeTe_(2) to hydrostatic pressure: 《Chinese Physics B》2025年第4期102-107,共6页Yonglin Wang Xu-Tao Zeng Bo Li Cheng Su Takanori Hattori Xian-Lei Sheng Wentao Jin; Project supported by the National Natural Science Foundation of China(Grant No.12074023);the Large Scientific Facility Open Subject of Songshan Lake(Grant No.KFKT2022B05);the Fundamental Research Funds for the Central Universities in China;Neutron diffraction experiments at the Materials and Life Science Experimental Facility of the J-PARC were performed through the user program(Proposal No.2023A0185).; Two-dimensional van der Waals ferromagnet Fe3GeTe2(FGT)holds a great potential for applications in spintronic devices due to its high Curie temperature,easy tunability,and excellent structural stability in air.Theoret...; 关键词：van der Waals material FERROMAGNETISM hydrostatic pressure neutron diffraction

Leaf vein-inspired transparent superhydrophobic coatings with high stability: 《Science China Materials》2025年第4期1203-1211,共9页Hang Li Zehao Wang Hongyi Tu Min Chen Yi Wu Limin Wu; supported by the National Key Research and Development Program of China(2022YFA1205200);the National Natural Science Foundation of China(52033003);the Natural Science Foundation of Hubei Province(2024AFB702)。; Transparent superhydrophobic coatings hold significant potential for applications in architectural glass and optoelectronic devices.However,obtaining good compatibility between highly transparent,low haze and excellen...; 关键词：superhydrophobic coatings TRANSPARENT low haze ROBUSTNESS bioinspired surfaces

Digital Twins and Cyber-Physical Systems:A New Frontier in Computer Modeling: 《Computer Modeling in Engineering & Sciences》2025年第4期51-113,共63页Vidyalakshmi G S Gopikrishnan Wadii Boulila Anis Koubaa Gautam Srivastava; Cyber-Physical Systems(CPS)represent an integration of computational and physical elements,revolutionizing industries by enabling real-time monitoring,control,and optimization.A complementary technology,Digital Twin(D...; 关键词：Cyber physical systems digital twin efficiency Industry 4.0 robustness and intelligence

Optimization-Based Approaches to Uncertainty Analysis of Structures Using Non-Probabilistic Modeling:A Review: 《Computer Modeling in Engineering & Sciences》2025年第4期115-152,共38页Yoshihiro Kanno Izuru Takewaki; partially supported by JSPS KAKENHI JP24K07747.; Response analysis of structures involving non-probabilistic uncertain parameters can be closely related to optimization.This paper provides a review on optimization-based methods for uncertainty analysis,with focusing...; 关键词：UNCERTAINTY non-probabilisticmodeling optimization methods bound for structural response ROBUSTNESS

Enhancing neural network robustness: Laser fault injection resistance in 55-nm SRAM for space applications: 《Chinese Physics B》2025年第4期478-484,共7页Qing Liu Haomiao Cheng Xiang Yao Zhengxuan Zhang Zhiyuan Hu Dawei Bi; The integration of artificial intelligence(AI)with satellite technology is ushering in a new era of space exploration,with small satellites playing a pivotal role in advancing this field.However,the deployment of mach...; 关键词：single event effects convolutional neural network fault injection SRAM

Byzantine-robust distributed support vector machine: 《Science China Mathematics》2025年第3期707-728,共22页Xiaozhou Wang Weidong Liu Xiaojun Mao; supported by National Natural Science Foundation of China (Grant No. 12101240);supported by National Natural Science Foundation of China (Grant No. 11825104);supported by National Natural Science Foundation of China (Grant Nos. 12371273 and 12001109);the Chenguang Program of Shanghai Education Development Foundation and Shanghai Municipal Education Commission (Grant No. 20CG29);the Shanghai Sailing Program (Grant No. 21YF1410500);the Shanghai Rising-Star Program (Grant No. 23QA1404600)。; The development of information technology brings diversification of data sources and large-scale data sets and calls for the exploration of distributed learning algorithms. In distributed systems, some local machines ...; 关键词：Byzantine robustness CONVERGENCE distributed learning support vector machine

Robustness enhancement of DRL controller for DC-DC buck converters fusing ESO: 《Journal of Control and Decision》2025年第1期101-110,共10页Tianxiao Yang Chengang Cui Chuanlin Zhang Jun Yang; supported in part by the National Natural Science Foundation of China under Grant 62233006,62173221;in part by Shanghai Rising-Star program under Grant 20QA1404000.; Recent application studies of deep reinforcement learning(DRL)in power electronic systems have successfully demonstrated its superiority over conventional model-based control design methods,stemming from its adaption ...; 关键词：Deep reinforcement learning extended state observer DC-DC buck converter robustness enhancement

Model-free Predictive Control of Motor Drives:A Review: 《CES Transactions on Electrical Machines and Systems》2025年第1期76-90,共15页Chenhui Zhou Yongchang Zhang Haitao Yang; supported in part by the National Natural Science Foundation of China under Grant 52077002。; Model predictive control(MPC)has been deemed as an attractive control method in motor drives by virtue of its simple structure,convenient multi-objective optimization,and satisfactory dynamic performance.However,the s...; 关键词：Model predictive control Motor drives Parameter robustness Model-free predictive control

Improving Robustness for Tag Recommendation via Self-Paced Adversarial Metric Learning: 《Computers, Materials & Continua》2025年第3期4237-4261,共25页Zhengshun Fei Jianxin Chen Gui Chen Xinjian Xiang; supported by the Key Research and Development Program of Zhejiang Province(No.2024C01071);the Natural Science Foundation of Zhejiang Province(No.LQ15F030006).; Tag recommendation systems can significantly improve the accuracy of information retrieval by recommending relevant tag sets that align with user preferences and resource characteristics.However,metric learning method...; 关键词：Tag recommendation metric learning adversarial training self-paced adversarial training ROBUSTNESS

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