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Challenges and future directions of secure federated learning:a survey

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Frontiers of Computer Science 2022年第5期16卷 173-180页

作者： Kaiyue ZHANG xuan song Chenhan ZHANG Shui YU Department of Computer Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Faculty of Engineering and Information Technology University of Technology SydneySydney 2007Australia SUSTech-UTokyo Joint Research Center on Super Smart City Department of Computer Science and EngineeringSouthern University of Science and TechnologyShenzhen 518055China Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation Department of Computer Science and EngineeringSouthern University of Science and TechnologyShenzhen 518055China

Federated learning came into being with the increasing concern of privacy security,as people’s sensitive information is being exposed under the era of big *** is an algorithm that does not collect users’raw data,but aggregates model parameters from each client and therefore protects user’s ***,due to the inherent distributed nature of federated learning,it is more vulnerable under attacks since users may upload malicious data to break down the federated learning *** addition,some recent studies have shown that attackers can recover information merely from ***,there is still lots of room to improve the current federated learning *** this survey,we give a brief review of the state-of-the-art federated learning techniques and detailedly discuss the improvement of federated *** open issues and existing solutions in federated learning are *** also point out the future research directions of federated learning.

关键词： federated learning privacy protection security

Unraveling the threshold stress of structural rejuvenation of metallic glasses via thermo-mechanical creep

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Science China(Physics,Mechanics & Astronomy) 2022年第6期65卷 101-109页

作者： Gan Ding Feng Jiang xuan song LanHong Dai MinQiang Jiang State Key Laboratory for Mechanical Behavior of Materials Xi’an Jiaotong UniversityXi’an 710049China State Key Laboratory of Nonlinear Mechanics Institute of MechanicsChinese Academy of SciencesBeijing 100190China School of Engineering Science University of Chinese Academy of SciencesBeijing 100049China

The competition between physical aging and structural rejuvenation determines the physical and mechanical properties of glassy ***,the rejuvenation-aging boundary must be identified *** this work,we unravel a stress boundary to distinguish rejuvenation from aging via the thermo-mechanical creep of a typical Zr-based metallic *** crept glasses were rejuvenated into high-enthalpy disordered states when the applied stress exceeded a threshold that was numerically close to the steady-state flow stress;otherwise,the glasses were aged.A theoretical model for glass creep was adopted to demystify the observed stress threshold of *** model revealed that the thermo-mechanical creep beyond the threshold stress could activate sufficient shear transformations to create a net free volume,thus leading to structural ***,we derived the analytical expressions for the threshold and flow *** stresses can act as the rejuvenation-aging boundary,which is well supported by experimental creep *** present work procures a deeper understanding of the rejuvenation mechanism of glasses and provides useful implications for abstaining from glass aging.

关键词： metallic glass thermo-mechanical creep threshold stress shear transformations rejuvenation-aging boundary

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Silencing of long non-coding RNA CCHE1 inhibits the ovarian cancer SKOV3 cell invasion and migration and inactivates the p38-MAPK signaling pathway

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BIOCELL 2020年第3期44卷 345-351页

作者： HONGWEI CHEN xuan song HEMEI LI Department of Gynecology and Obstetrics the Central Hospital of WuhanTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430014China

Ovarian cancer(OC)is a major cause of cancer-related deaths among *** studies suggest that the long non-coding RNA(lncRNA)may be the potential biomarker for the diagnosis and prognosis of the *** current study was carried out to investigate the role of lncRNA CCHE1 silencing in OC cell invasion and *** of lncRNA CCHE1 in normal ovarian cell Hose and OC cell lines HO 8910,A2780 and SKOV3 was *** were transfected with siRNA,and then the proliferation of cells was detected by using MTT *** invasion and migration was measured by using Transwell assay and scratch test,*** protein levels of E-cadherin,N-cadherin,ERK,p38-MAPK and the phosphorylation of ERK and p38-MAPK in cells after siRNA transfection were detected by using Western blot ***,lncRNA CCHE1 expression was highly expressed in OC cell lines,especially in SKOV3 ***1,siRNA2 and siRNA3 all *** CCHE1 expression in SKOV3 cells and siRNA2 showed the best silencing *** of lncRNA CCHE1 decreased proliferation,invasion and migration,and reduced the protein levels of N-cadherin,ERK,p38-MAPK and the phosphorylation of ERK and p38-MAPK,while reducing the protein level of E-cadherin in SKOV3 ***,our study proved that the silencing of lncRNA CCHE1 could inhibit SKOV3 cell invasion and migration via inactivating the p38-MAPK signaling pathway.

关键词： Long non-coding RNA CCHE1 Ovarian cancer Invasion Migration

CBSC: A Crowdsensing System for Automatic Calibrating of Barometers

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Journal of Computer Science & Technology 2019年第5期34卷 1007-1019页

作者： Hai-Bo Ye xuan-song Li Li Sheng Kai Dong College of Computer Science and Technology Nanjing University of Aeronautics and AstronauticsNanjing 211100China School of Computer Science and Engineering Nanjing University of Science and TechnologyNanjing 210094China School of Computer Science and Engineering Southeast UniversityNanjing 211189China

The mobile crowdsensing software systems can complete large-scale and complex sensing tasks with the help of the collective intelligence from large numbers of ordinary users. In this paper, we build a typical crowdsensing system, which can efficiently calibrate large numbers of smartphone barometer sensors. The barometer sensor now becomes a very common sensor on smartphones. It is very useful in many applications, such as positioning, environment sensing and activity detection. Unfortunately, most smartphone barometers today are not accurate enough, and it is rather challenging to efficiently calibrate a large number of smartphone barometers. Here, we try to achieve this goal by designing a crowdsensingbased smartphone calibration system, which is called CBSC. It makes use of low-power barometers on smartphones and needs few reference points and little human assistant. We propose a hidden Markov model for peer-to-peer calibration, and calibrate all the barometers by solving a minimum dominating set problem. The field studies show that CBSC can get an accuracy of within 0.1 hPa in 84% cases. Compared with the traditional solutions, CBSC is more practical and the accuracy is satisfying. The experience gained when building this system can also help the development of other crowdsensing-based systems.

关键词： crowdsensing system smartphone sensing barometer calibration

Integrating GPS trajectory and topics from Twitter stream for human mobility estimation

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Frontiers of Computer Science 2019年第3期13卷 460-470页

作者： Satoshi MIYAZAWA xuan song Tianqi XIA Ryosuke SHIBASAKI Hodaka KANEDA Department of Socio-Cultural Environmental Studies Graduate School of Frontier Sciences The University of Tokyo Chiba 277-8563 Japan Center for Spatial Information Science The University of Tokyo Kashiwa 277-8568 Japan Zenrin DataCom Co. Ltd Tokyo 108-6206 Japan

Understanding urban dynamics and large-scale human mobility will play a vital role in building smart cities and sustainable urbanization. Existing research in this domain mainly focuses on a single data source (e.g., GPS data, CDR data, etc.). In this study, we collect big and heterogeneous data and aim to investigate and discover the relationship between spatiotemporal topics found in geo-tagged tweets and GPS traces from smartphones. We employ Latent Dirichlet Allocation-based topic modeling on geo-tagged tweets to extract and classify the topics. Then the extracted topics from tweets and temporal population distribution from GPS traces are jointly used to model urban dynamics and human crowd flow. The experimental results and validations demonstrate the efficiency of our approach and suggest that the fusion of cross-domain data for urban dynamics modeling is more practical than previously thought.

关键词： GPS trajectory human mobility SNS locationbased social network (LBSN) topic modeling data mining spatiotemporal topic

HDR-Net-Fusion:Real-time 3D dynamic scene reconstruction with a hierarchical deep reinforcement network

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Computational Visual Media 2021年第4期7卷 419-435页

作者： Hao-xuan song Jiahui Huang Yan-Pei Cao Tai-Jiang Mu BNRist Department of Computer Science and TechnologyTsinghua UniversityBeiing 100084China Kuaishou Technology Co. Ltd.Beijing 100085China

Reconstructing dynamic scenes with commodity depth cameras has many applications in computer graphics,computer vision,and ***,due to the presence of noise and erroneous observations from data capturing devices and the inherently ill-posed nature of non-rigid registration with insufficient information,traditional approaches often produce low-quality geometry with holes,bumps,and *** propose a novel 3D dynamic reconstruction system,named HDR-Net-Fusion,which learns to simultaneously reconstruct and refine the geometry on the fly with a sparse embedded deformation graph of surfels,using a hierarchical deep reinforcement(HDR)*** latter comprises two parts:a global HDR-Net which rapidly detects local regions with large geometric errors,and a local HDR-Net serving as a local patch refinement operator to promptly complete and enhance such *** the global HDR-Net is formulated as a novel reinforcement learning problem to implicitly learn the region selection strategy with the goal of improving the overall reconstruction *** applicability and efficiency of our approach are demonstrated using a large-scale dynamic reconstruction *** method can reconstruct geometry with higher quality than traditional methods.

关键词： dynamic 3D scene reconstruction deep reinforcement learning point cloud completion deep neural networks

Research of Application of Passive Natural Ventilated Strategies of High-Density Urban Area

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Journal of Harbin Institute of Technology(New Series) 2014年第5期21卷 59-65页

作者： De-xuan song Shao-Yu Liu Si-Jie Liu College of Architecture and Urban Planning Tongji University College of Architecture Hongkong University

High-density development is becoming an inevitable tendency in Chinese urbanization. In this study,the application of natural ventilation in high-density urban development is discussed. Based on the domestic and foreign study on natural ventilation,indoor and outdoor natural ventilated strategies,and the application on natural ventilation in underground space development are analyzed. From the study,the relationship between passive and active ventilated technologies is interpreted into what is described to be synergistic,complementary and additive.

关键词： high-density natural ventilation passive strategies

Intriguing one-dimensional electronic behavior in emerging two-dimensional materials

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Nano Research 2021年第11期14卷 3810-3819页

作者： xuan song Teng Zhang Huixia Yang Hongyan Ji Jiatao Sun Liwei Liu Yeliang Wang Hongjun Gao School of Information and Electronics MIIT Key Laboratory for Low-Dimensional Quantum Structure and DevicesBeijing Institute of TechnologyBeijing100081China Institute of Physics Chinese Academy of SciencesBeijing100190China

Tomonaga-Luttinger liquid(TLL),a peculiar one-dimensional(1D)electronic behavior due to strong correlation,was first studied in 1D nanostructures and has attracted significant attention over the last several *** the rise of new two-dimensional(2D)quantum materials,1D nanostructures in 2D materials have provided a new platform with a well-defined configuration at the atomic scale for studying TLL electronic *** this paper,we review the recent progress of TLL electronic features in emerging 2D materials embedded with various 1D nanostructures,including island edges,domain walls,and 1D moiré***,novel physical phenomena,such as 1D edge states in 2D transition metal dichalcogenides(TMDs),helical TLL in 2D topological insulators(2DTI),and chiral TLL in 2D quantum Hall systems,are described and discussed at the *** also analyze challenges and opportunities at the frontier of this research area.

关键词： One-dimensional electronic system Tomonaga-Luttinger liquid two-dimensional materials edge states domain wall

Investigation on the Relationship between Population Density and Satellite Image Features——a Deep Learning Based Approach

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Journal of Geodesy and Geoinformation Science 2022年第4期5卷 50-58页

作者： Junxiang ZHANG Peiran LI Haoran ZHANG xuan song Southern University of Science and Technology-University of Tokyo Joint Research Center for Super Smart Cities Department of Computer and EngineeringSouthern University of Science and TechnologyShenzhen 518000China Center for Spatial Information Science The University of TokyoKashiwa-shi 277-8568Japan School of Urban Planning and Design Peking UniversityShenzhen 518000China

Timely and accurate population statistic data plays an important role in many *** illustrate the demographic characteristics,population density is a crucial factor in evaluating population *** a dynamic regional migration in population,it is a challenging job to evaluate population density without a census-based *** present the approach to classify satellite images in different magnitudes in population density and execute the comparative experiment to discuss the factors that influence the identification to the images with the deep learning *** this paper,we use satellite imagery and community population density *** convolutional neural networks,we evaluated the performance of CNN on population estimation with satellite images,found the features that are important in population estimation,and then perform the sensitive analysis.

关键词： population estimation satellite imagery convolutional neural network