作者: Ze-tu GAO,Jian-hua YIN (School of Mathematics and Statistics,Hainan University)
出处: Acta Mathematicae Applicatae Sinica 2025
摘要: Given a distribution of pebbles on the vertices of a connected graph G,a pebbling move on G consists of taking two pebbles off one vertex and placing ...
作者: 祁中富1,张志才2 (1山西大学物理电子工程学院;2海南大学计算机科学与技术学院)
出处: 测试技术学报 2025
关键词: 联邦学习;模型更新效率;联盟博弈;选择领导者;分布式联盟形成
摘要: 联邦学习作为一种新兴的分布式机器学习范式, 在物联网应用中能有效保护数据隐私, 但仍存在模型更新效率低和实时性差等问题。为此, 提出将分布式联邦学习与联盟博弈相结合的新模型, 在该模型中客户端通过权衡形成联盟的收益和成本合作进行联邦学习。由于物联网中设备资源的有限性, 提出在联盟中选择领导者协调训练 ...
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作者: 范志强1,张志才2 (1山西大学物理电子工程学院;2海南大学计算机科学与技术学院)
出处: 测试技术学报 2025
关键词: 联邦学习;搭便车攻击;区块链;声誉评估
摘要: 联邦学习(Federated Learning, FL)作为一种安全的分布式学习框架,可以有效保护参与者的数据隐私,引起了物联网领域的广泛兴趣。然而,传统的FL架构在某种程度上是集中式的,需要一个中央服务器来负责模型的更新和聚合。这种集中式结构容易受到单点攻击,可能导致整个FL系统瘫痪,同时也易受到 ...
作者: 贾惠景,付芳,张志才 (山西大学物理电子工程学院;海南大学计算机科学与技术学院)
出处: 测试技术学报 2025
关键词: 联邦学习;不可靠通信;信誉;客户端选择;好奇心驱动的深度Q学习
摘要: 联邦学习作为一种分布式机器学习框架,因其数据隐私保护特性受到广泛关注,然而,恶意客户端和不可靠通信严重影响了其性能与效率。为了解决上述问题,提出了一种不可靠通信下基于信誉的多任务发布者的联邦学习客户端选择机制。首先,使用上行链路模型传输成功概率评估通信可靠性,并考虑了其对聚合模型性能的影响。其次,提 ...
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作者: 曹君乾,李欢,莫欣岳 (海南大学网络空间安全学院(密码学院))
出处: 计算机测量与控制 2025
关键词: 臭氧浓度预报;长短期记忆网络;时间卷积网络;Transformer;开普勒优化算法;集合预报
摘要: 针对普遍而严重的空气污染问题,特别是日益增加的臭氧污染对环境和公众健康带来的威胁,提出了一种融合长短期记忆网络、时间卷积网络、Transformer三种深度学习模型和元启发式算法开普勒优化算法的集合预报模型;通过分析臭氧与其他空气污染物及气象要素的相关性,选定了预报因子;分别搭建了长短期记忆网络、时 ...
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作者: Xia Li,Yandie Liu,Zhenglin Du,Qiangsheng Zhang,Qing Chen,Jialin Xie,Kelong Zhu (School of Chemistry, Sun Yat-Sen University;Hainan Provincial Key Laboratory of Fine Chem, School of Chemistry and Chemical Engineering, Hainan University;One Health Institute, Hainan University)
出处: Chinese Chemical Letters 2025
摘要: Nanobelts are a rapidly developing family of macrocycles with appealing features.However, their hostguest chemistry is currently limited to the recogn ...
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作者: Jinjin Yang1,Chuanhui Zhu1,Shuang Zhao1,Tao Xia1,Pengfei Tan1,Yutian Zhang1,Mei-Huan Zhao1,Yijie Zeng2,Man-Rong Li1,3 (1Key Laboratory of Bioinorganic and Synthetic Chemistry of Ministry of Education,School of Chemistry,Sun Yat-sen University;2College of Science,Hangzhou Dianzi University;3School of Chemistry and Chemical Engineering,Hainan University)
出处: Chinese Chemical Letters 2025
摘要: Spin-orbit coupling(SOC) plays a vital role in determining the ground state and forming novel electronic states of matter where heavy elements are inv ...
作者: Jiatong Li1,2,Linlin Zhang1,2,Peng Huang1,2,Chengjun Ge1,2 (1Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation,School of Environmental Science and Engineering,Hainan University;2Haikou Key Laboratory of Environmental Toxicology (Hainan University))
出处: Chinese Chemical Letters 2025
摘要: Synergy strategy of photocatalysts and polymer resins are promising technology for marine antifouling.However,it is still a main challenge to obtain a ...
作者: Chengkai Ren1,Libin Yin1,Shuai Wang2,Weirong Chen3,Sheng Wang1,Kainan Xiong1,Xiaoniu Tu1,Ningzhong Bao2,Yanqing Zheng4,Jun Chen5,6,Erwei Shi1 (1Shanghai Institute of Ceramics,Chinese Academy of Sciences;2State Key Laboratory of Material-Oriented Chemical Enganeering,College of Chemical Engineering,Nanjing Tech University;3The State Key Discipline Laboratory of Wide Bandgap Semiconductor Technology,School of Microelectronics,Xidian University;4College of Materials Science and Chemical Engineering,Ningbo University;5Beijing Advanced Innovation Center for Materials Genome Engineering,Department of Physical Chemistry,University of Science and Technology Beijing;6Hainan University)
出处: Journal of Rare Earths 2025
摘要: As a promising optical and piezoelectric crystal,efficient growth of LGN single crystal is crucial for its practical applications.Herein,a langanite(L ...
作者: PU Luoman,XIANG Mengjun (College of International Tourism and Public Administration,Hainan University)
出处: Chinese Geographical Science 2025
摘要: Rapid climate and cropland use changes in recent decades have posed major challenges to food security in China. Hainan Island is the only tropical isl ...
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