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相关概念视频

Multiple Regression01:25

Multiple Regression

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Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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Regression Analysis01:11

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Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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Correlation and Regression00:53

Correlation and Regression

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In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a...
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Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
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相关实验视频

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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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实用和强大的联合学习与高度可扩展的回归训练.

Song Han, Hongxin Ding, Shuai Zhao

    IEEE transactions on neural networks and learning systems
    |June 8, 2023
    PubMed
    概括

    两个新的非交互式联合学习方案增强了医疗物联网的隐私保护机器学习. 这些方法保护本地数据,抵抗攻击,并提供可扩展,安全回归训练的验证.

    科学领域:

    • 计算机科学 计算机科学
    • 机器学习 机器学习
    • 网络安全 网络安全

    背景情况:

    • 联合学习 (FL) 能够在不集中原始数据的情况下进行机器学习模型训练,这对于医疗物联网 (IoMT) 的隐私至关重要.
    • 传统的交互式FL方案面临隐私和安全威胁,由于多轮通信.
    • 现有的非交互式FL计划在本地数据隐私,可扩展性,放弃容忍度和结果验证方面扎.

    研究的目的:

    • 为IoMT提出新的非交互式联合学习 (NFRT) 方案,以应对隐私,可扩展性,稳定性和可验证性等现有挑战.
    • 开发实用的NFRT解决方案,平衡隐私保护与高效和安全的回归模型培训.

    主要方法:

    • 推出了两种NFRT方案:基于同型加密的NFRT (HE-NFRT) 和基于双覆盖协议的NFRT (Mask-NFRT).
    • 这两个方案都是为了保护隐私的计算,高效率,对数据所有者退出的稳定性而设计的,并包括一个验证机制.
    • 为了评估拟议的方法,进行了安全和性能分析.

    主要成果:

    • 拟议的HE-NFRT和Mask-NFRT方案有效地保护了数据所有者 (DO) 对本地数据集的隐私.
    • 这两个方案都证明了对勾结攻击的弹性,并为每个DO提供了强大的验证能力.
    • HE-NFRT适用于高维,高安全的IoMT应用,而Mask-NFRT则优化用于高维,大规模的IoMT场景.

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    结论:

    • 开发的NFRT方案为IoMT的隐私保护联合学习提供了实际解决方案.
    • 这些方法提高了医疗保健应用分布式机器学习的安全性,可扩展性和可验证性.
    • 在HE-NFRT和Mask-NFRT之间做出选择取决于IoMT在安全性和规模方面的特定应用要求.