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可信联邦学习进化优化算法综述

engineering 2024年第3期34卷 23-42页

作者： Qiqi Liu Yuping Yan Yaochu Jin Xilu Wang Peter Ligeti Guo Yu Xueming Yan school of engineering Westlake UniversityHangzhou 310030China Faculty of Informatics Department of Computer AlgebraEötvös Loránd UniversityBudapest 1053Hungary Faculty of Technology Bielefeld UniversityBielefeld 33619Germany Institute of Intelligent Manufacturing Nanjing Tech UniversityNanjing 211816China school of Information science and Technology Guangdong University of Foreign StudiesGuangzhou 510006China

With the development of edge devices and cloud computing,the question of how to accomplish machine learning and optimization tasks in a privacy-preserving and secure way has attracted increased attention over the past *** a privacy-preserving distributed machine learning method,federated learning(FL)has become popular in the last few ***,the data privacy issue also occurs when solving optimization problems,which has received little attention so *** survey paper is concerned with privacy-preserving optimization,with a focus on privacy-preserving data-driven evolutionary *** aims to provide a roadmap from secure privacy-preserving learning to secure privacy-preserving optimization by summarizing security mechanisms and privacy-preserving approaches that can be employed in machine learning and *** provide a formal definition of security and privacy in learning,followed by a comprehensive review of FL schemes and cryptographic privacy-preserving ***,we present ideas on the emerging area of privacy-preserving optimization,ranging from privacy-preserving distributed optimization to privacy-preserving evolutionary optimization and privacy-preserving Bayesian optimization(BO).We further provide a thorough security analysis of BO and evolutionary optimization methods from the perspective of inferring attacks and active *** the basis of the above,an in-depth discussion is given to analyze what FL and distributed optimization strategies can be used for the design of federated optimization and what additional requirements are needed for achieving these ***,we conclude the survey by outlining open questions and remaining challenges in federated data-driven *** hope this survey can provide insights into the relationship between FL and federated optimization and will promote research interest in secure federated optimization.

关键词： Federated learning Privacy-preservation security evolutionary optimization Data-driven optimization Bayesian optimization

In-situ study of the microstructure evolution during tension of a Mg-Y-Zn-Al alloy processed by rapidly solidified ribbon consolidation technique

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Journal of Magnesium and Alloys 2024年第5期12卷 2024-2040页

作者： Jeno Gubicza Kristián Máthis Péter Nagy Péter Jenei Zoltán Hegedus Andrea Farkas Jozef Vesely shin-ichi Inoue Daria Drozdenko Yoshihito Kawamura Department of Materials Physics Faculty of ScienceEotvos Loránd UniversityPázmány P.sétány 1/ABudapest H-1117Hungary Department of Physics of Materials Faculty of Mathematics and PhysicsCharles UniversityKe Karlovu 512116 Praha 2Czech Republic Deutsches elektronen-synchrotron DesY Notkestr.85Hamburg 22603Germany Magnesium Research Center Kumamoto University2-39-1 KurokamiChuo-kuKumamoto 860-8555Japan

Mg-Y-Zn-Al alloys processed by rapidly solidified ribbon consolidation(RsRC)technique exhibit an exceptional mechanical performance indicating promising application *** material has a bimodal microstructure consisting of fine recrystallized and coarse non-recrystallized grains with solute-rich stacking faults forming cluster arranged layers(CALs)and nanoplates(CANaPs),or complete long period stacking ordered(LPsO)*** order to reveal the deformation mechanisms,in-situ synchrotron X-ray diffraction line profile analysis was employed for a detailed study of the dislocation arrangement created during tension in Mg-0.9%Zn-2.05%Y-0.15%Al(at%)*** uncovering the effect of the initial microstructure on the mechanical performance,additional samples were obtained by annealing of the as-consolidated specimen at 300 and 400℃ for 2 *** heat treatment at 300℃ had no significant effect on the initial microstructure,its evolution during tension and,thus,the overall deformation behavior under tensile *** the other hand,annealing at 400℃ resulted in a significant increase of the recrystallized grains fraction and a decrease of the dislocation density,leading to only minor degradation of the mechanical *** maximum dislocation density at the failure of the samples corresponding to the plastic strain of 10-25% was estimated to be about 16-20×10^(14)m^(-2).The diffraction profile analysis indicated that most dislocations formed during tension were of non-basal and pyramidal types,what was also in agreement with the schmid factor values revealed independently from orientation *** was also shown that the dislocation-induced Taylor hardening was much lower below the plastic strain of 3% than above this value,which was explained by a model of the interaction between prismatic dislocations and CANaPs/LPsO plates.

关键词： Mg-Zn-Y-Al alloy Long period stacking ordered(LPsO)phase Cluster arranged nanoplates(CANaPs) Annealing Tension Dislocation density Hardening

Musielak–Orlicz–lorentz Hardy spaces: Maximal Function, Finite Atomic, and Littlewood–Paley Characterizations with Applications to Dual spaces and summability of Fourier Transforms

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Acta Mathematica sinica,english series 2024年

作者： Hong Chao JIA Der-Chen CHANG Ferenc WeIsZ Da Chun YANG Wen YUAN Department of Numerical Analysis E?tv?s L.University Laboratory of Mathematics and Complex systems (Ministry of education of China) School of Mathematical Sciences Beijing Normal University Department of Mathematics and statistics Georgetown University Washington Institute of Business Administration College of Management Fu Jen Catholic University

Let q ∈(0, ∞] and φ be a Musielak–Orlicz function with uniformly lower type pφ-∈(0, ∞) and uniformly upper type pφ+∈(0, ∞). In this article, the authors establish various realvariable characterizations of the Musielak–Orlicz–lorentz Hardy space Hφ,q(Rn), respectively, in terms of various maximal functions, finite atoms, and various Littlewood–Paley functions. As applications, the authors obtain the dual space of Hφ,q(Rn) and the summability of Fourier transforms from Hφ,q(Rn)to the Musielak–Orlicz–lorentz space Lφ,q(Rn) when q ∈(0, ∞) or from the Musielak–Orlicz Hardy space Hφ(Rn) to Lφ,∞(Rn) in the critical case. These results are new when q ∈(0, ∞) and also essentially improve the existing corresponding results(if any) in the case q = ∞ via removing the original assumption that φ is concave. To overcome the essential obstacles caused by both that φmay not be concave and that the boundedness of the powered Hardy–Littlewood maximal operator on associated spaces of Musielak–Orlicz spaces is still unknown, the authors make full use of the obtained atomic characterization of Hφ,q(Rn), the corresponding results related to weighted Lebesgue spaces,and the subtle relation between Musielak–Orlicz spaces and weighted Lebesgue spaces.

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Revealing the topological phase diagram of ZrTe_(5) using the complex strain fields of microbubbles

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npj Computational Materials 2022年第1期8卷 1685-1691页

作者： Zoltán Tajkov Dániel Nagy Konrád Kandrai János Koltai LászlóOroszlány Péter süle Zsolt eHorváth Péter Vancsó Levente Tapasztó Péter Nemes-Incze Centre for energy Research Institute of Technical Physics and Materials Science1121BudapestHungary Department of Physics of Complex systems ELTE Eötvös Loránd University1117BudapestHungary eLTe eötvös loránd university Department of Biological Physics1117BudapestHungary Budapest university of Technology and economics 1111BudapestHungary

Topological materials host robust properties,unaffected by microscopic perturbations,owing to the global topological properties of the bulk electron *** in which the topological invariant can be changed by easily tuning external parameters are especially sought *** pentatelluride(ZrTe_(5))is one of a few experimentally available materials that reside close to the boundary of a topological phase transition,allowing the switching of its invariant by mechanical ***,we unambiguously identify a topological insulator–metal transition as a function of strain,by a combination of ab initio calculations and direct measurements of the local charge *** model quantitatively describes the response to complex strain patterns found in bubbles of few layer ZrTe_(5) without fitting parameters,reproducing the mechanical deformation-dependent closing of the band gap observed using scanning tunneling *** calculate the topological phase diagram of ZrTe_(5) and identify the phase at equilibrium,enabling the design of device architectures,which exploit the topological switching characteristics of the system.

关键词： density topological invariant

The Immense Impact of Reverse edges on Large Hierarchical Networks

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engineering 2024年第5期36卷 240-249页

作者： Haosen Cao Bin-Bin Hu Xiaoyu Mo Duxin Chen Jianxi Gao Ye Yuan Guanrong Chen Tamás Vicsek Xiaohong Guan Hai-Tao Zhang MOe engineering Research Center of Autonomous Intelligent Unmanned systems State Key Laboratory of Intelligent Manufacturing Equipment and TechnologySchool of Artificial Intelligence and AutomationHuazhong University of Science and TechnologyWuhan 430074China school of Mechanical and Aerospace engineering Nanyang Technological UniversitySingapore 639798Singapore Jiangsu Key Laboratory of Networked Collective Intelligence School of MathematicsSoutheast UniversityNanjing 210096China Department of Computer science Rensselaer Polytechnic InstituteTroyNY 12180USA Department of electronic engineering City University of Hong KongHong Kong 999077China Department of Biological Physics Eötvös UniversityBudapest 1117Hungary MOe Key Laboratory for Intelligent Networks and Network security School of Automation Science and EngineeringXi’an Jiaotong UniversityXi’an 710049China

Hierarchical networks are frequently encountered in animal groups,gene networks,and artificial engineering systems such as multiple robots,unmanned vehicle systems,smart grids,wind farm networks,and so *** structure of a large directed hierarchical network is often strongly influenced by reverse edges from lower-to higher-level nodes,such as lagging birds’howl in a flock or the opinions of lowerlevel individuals feeding back to higher-level ones in a social *** study reveals that,for most large-scale real hierarchical networks,the majority of the reverse edges do not affect the synchronization process of the entire network;the synchronization process is influenced only by a small part of these reverse edges along specific *** surprisingly,a single effective reverse edge can slow down the synchronization of a huge hierarchical network by over 60%.The effect of such edges depends not on the network size but only on the average in-degree of the involved *** overwhelming majority of active reverse edges turn out to have some kind of“bunching”effect on the information flows of hierarchical networks,which slows down synchronization *** finding refines the current understanding of the role of reverse edges in many natural,social,and engineering hierarchical networks,which might be beneficial for precisely tuning the synchronization rhythms of these *** study also proposes an effective way to attack a hierarchical network by adding a malicious reverse edge to it and provides some guidance for protecting a network by screening out the specific small proportion of vulnerable nodes.

关键词： synchronizability Large hierarchical networks Reverse edges Information flows Complex networks

The measurement of proprioceptive accuracy:A systematic literature review

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Journal of sport and Health science 2023年第2期12卷 219-225页

作者： Àron Horváth eszter Ferentzi Kristóf schwartz Nina Jacobs Pieter Meyns Ferenc Köteles Doctoral school of Psychology ELTE Eötvös Loránd UniversityKazinczy street 23-27Budapest 1075Hungary Institute of Health Promotion and sport sciences ELTE Eötvös Loránd UniversityPrielle Kornélia Street 47-49Budapest 1117Hungary Rehabilitation Research(ReVAL) Faculty of Rehabilitation SciencesUniversity of HasseltMartelarenlaan 42Hasselt 3500Belgium

Background:Proprioceptive accuracy refers to the individual’s ability to perceive proprioceptive information,that is,the information referring to the actual state of the locomotor system,which originates from mechanoreceptors located in various parts of the locomotor system and from tactile receptors located in the *** accuracy appears to be an important aspect in the evaluation of sensorimotor functioning;however,no widely accepted standard assessment *** this systematic review,our goal was to identify and categorize different methods that are used to assess different aspects of proprioceptive ***:A literature search was conducted in 5 different databases(PubMed,sPORTDiscus,PsycINFO,scienceDirect,and springerLink).Results:Overall,1139 scientific papers reporting 1346 methods were included in this *** methods assess 8 different aspects of proprioception:(a)the perception of joint position,(b)movement and movement extent,(c)trajectory,(d)velocity,and the sense of(e)force,(f)muscle tension,(g)weight,and(h)*** apply various paradigms of psychophysics(i.e.,the method of adjustment,constant stimuli,and limits).Conclusion:As the outcomes of different tasks with respect to various body parts show no associations(i.e.,proprioceptive accuracy is characterized by site-specificity and method-specificity),the appropriate measurement method for the task needs to be chosen based on theoretical considerations and/or ecological validity.

关键词： Assessment Kinesthesia Motor control Proprioception Proprioceptive accuracy

Incorporating physiological knowledge into correlative species distribution models minimizes bias introduced by the choice of calibration area

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Marine Life science & Technology 2024年第2期6卷 349-362页

作者： Zhixin Zhang Jinxin Zhou Jorge García Molinos stefano Mammola Ákos Bede‑Fazekas Xiao Feng Daisuke Kitazawa Jorge Assis Tianlong Qiu Qiang Lin CAs Key Laboratory of Tropical Marine Bio-resources and ecology South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China Guangdong Provincial Key Laboratory of Applied Marine Biology South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China Marine Biodiversity and ecological evolution Research Center South China Sea Institute of OceanologyGuangzhou 510301China Global Ocean and Climate Research Center South China Sea Institute of OceanologyGuangzhou 510301China Institute of Industrial science The University of Tokyo5-1-5 KashiwanohaKashiwaChiba 277-8574Japan Arctic Research Center Hokkaido UniversitySapporoHokkaido 001-0021Japan Finnish Museum of Natural History University of HelsinkiHelsinkiFinland Molecular ecology Group(MeG) Water Research Institute(IRSA)National Research Council of Italy(CNR)28922 Verbania PallanzaItaly National Biodiversity Future Center(NBFC) PalermoItaly Institute of ecology and Botany HUN-REN Centre for Ecological ResearchVácrátótHungary Department of environmental and Landscape Geography ELTE Eötvös Loránd UniversityBudapestHungary Department of Biology University of North CarolinaChapel HillNC 27599USA Centre of Marine sciences University of AlgarveCampus de GambelasFaroPortugal CAs Key Laboratory of experimental Marine Biology Institute of OceanologyChinese Academy of SciencesQingdao 266071China university of Chinese Academy of sciences Beijing 100049China

Correlative species distribution models(sDMs)are important tools to estimate species’geographic distribution across space and time,but their reliability heavily relies on the availability and quality of occurrence *** can be biased when occurrences do not fully represent the environmental requirement of a *** tested to what extent species’physiological knowledge might influence sDM *** on the Japanese sea cucumber Apostichopus japonicus within the coastal ocean of east Asia,we compiled a comprehensive dataset of occurrence *** then explored the importance of incorporating physiological knowledge into sDMs by calibrating two types of correlative sDMs:a naïve model that solely depends on environmental correlates,and a physiologically informed model that further incorporates physiological information as *** further tested the models’sensitivity to calibration area choices by fitting them with different buffered areas around known *** with naïve models,the physiologically informed models successfully captured the negative influence of high temperature on *** and were less sensitive to the choice of calibration *** naïve models resulted in more optimistic prediction of the changes of potential distributions under climate change(i.e.,larger range expansion and less contraction)than the physiologically informed *** findings highlight benefits from incorporating physiological information into correlative sDMs,namely mitigating the uncertainties associated with the choice of calibration *** these promising features,we encourage future sDM studies to consider species physi-ological information where available.

关键词： Bayesian approach Climate change Habitat suitability Physiological knowledge species distribution model

Hazards and Landscape Changes(Degradations) on Hungarian Karst Mountains Due to Natural and Human effects

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Journal of Mountain science 2013年第1期10卷 16-28页

作者： Móga JNOs Kiss KLAUDIA szabó MRIA Kériné Borsodi AndReA Kéri AndRs Mari LsZLó Knáb MóNIKA Iván VeRONIKA Geography and earth science Institute Etvs Loránd University Biology Institute Etvs Loránd University

In order to study the karstological processes within the karst ecological system,the geohazards and degradation of karst landscapes on the karst areas of the Bakony mountains(Hungary),we investigated the abiotic elements of the environment,soil and cover deposits,erosion soil decay;the changes in the quantity and quality of karst waters:contamination at swallow holes,contamination of karst springs;and the biogenic factors:surface vegetation coverage by the corine land cover method,plant-ecological examinations,qualification of surface waters with the help of biological water *** recognized that the increasing human activities during the past few centuries have had significant impact on the investigated landscapes of karst areas because of their spatial *** the scope of our research we concluded that the landscape changes due to natural and human effects can vary strongly on the different karst *** differences can arise from the climatic and geomorphologic situation,the coverlayer's qualities,etc.,but primarily from the different utilization of the investigated karst areas(*** intensity,characteristics and territorial extension of utilization).On the spot investigation we detected traces of new and fast geomorphological processes(gully formation,landslides,collapses,new sinkhole development) and landforms(sinkholes,gullies,swallow holes),which are clear evidences of the effect of climatic changes.

关键词：喀斯特山区景观变化匈牙利自然非生物环境降解危害岩溶生态系统

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反向连边在大型分层网络中的影响（英文）

engineering 2024年第5期 240-249页

作者：曹浩森胡斌斌莫小雨陈都鑫高建喜袁烨陈关荣 Tamás Vicsek 管晓宏张海涛 MOe engineering Research Center of Autonomous Intelligent Unmanned systems State Key Laboratory of Intelligent Manufacturing Equipment and Technology School of Artificial Intelligence and Automation Huazhong University of Science and Technology school of Mechanical and Aerospace engineering Nanyang Technological University Jiangsu Key Laboratory of Networked Collective Intelligence School of Mathematics Southeast University Department of Computer science Rensselaer Polytechnic Institute Department of electronic engineering City University of Hong Kong Department of Biological Physics E?tv?s University MOe Key Laboratory for Intelligent Networks and Network security School of Automation Science and Engineering Xi'an Jiaotong University

Hierarchical networks are frequently encountered in animal groups, gene networks, and artificial engineering systems such as multiple robots, unmanned vehicle systems, smart grids, wind farm networks,and so forth. The structure of a large directed hierarchical network is often strongly influenced by reverse edges from lower-to higher-level nodes, such as lagging birds' howl in a flock or the opinions of lowerlevel individuals feeding back to higher-level ones in a social group. This study reveals that, for most large-scale real hierarchical networks, the majority of the reverse edges do not affect the synchronization process of the entire network; the synchronization process is influenced only by a small part of these reverse edges along specific paths. More surprisingly, a single effective reverse edge can slow down the synchronization of a huge hierarchical network by over 60%. The effect of such edges depends not on the network size but only on the average in-degree of the involved subnetwork. The overwhelming majority of active reverse edges turn out to have some kind of ‘‘bunchingo effect on the information flows of hierarchical networks, which slows down synchronization processes. This finding refines the current understanding of the role of reverse edges in many natural, social, and engineering hierarchical networks,which might be beneficial for precisely tuning the synchronization rhythms of these networks. Our study also proposes an effective way to attack a hierarchical network by adding a malicious reverse edge to it and provides some guidance for protecting a network by screening out the specific small proportion of vulnerable nodes.

关键词：