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相关概念视频

Self-Awareness and Its Effects01:21

Self-Awareness and Its Effects

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Self-awareness is a psychological state in which the individual becomes the focal point of their attention. This inward focus transforms the self into an object of contemplation and assessment, influencing how individuals perceive their actions and their alignment with personal and societal standards.Triggers and Contexts for Self-AwarenessSelf-awareness can be activated by external stimuli that make individuals visually or audibly aware of themselves, such as mirrors, cameras, or recordings.
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Altered states of consciousness represent significant deviations from one's normal mental state. These deviations can range from subtle changes in awareness to profound transformations in perception, thought processes, and sensory experiences. Altered states of consciousness can be triggered by various factors, including drug use, meditation, hypnosis, illness, or even intense fatigue.
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The concept of subconscious awareness refers to the processing of information below the level of conscious thought, which significantly influences both behaviors and decisions. It is also known as waking subconscious awareness. This complex level of cognition operates without the direct awareness of the individual, facilitating rapid and simultaneous handling of multiple information streams.
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Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
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Vertical curves provide the transition between two roadway grades, ensuring safety, comfort, and functionality. Calculating elevations at specific stations along the curve involves several systematic steps based on the curve's geometry and provided design parameters.The vertical curve is defined by its length, grades, Point of Vertical Intersection (P.V.I.) location, and P.V.I. elevation. The stations of the Point of Vertical Curvature (P.V.C.), where the curve begins, and the Point of Vertical...
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Updated: Feb 14, 2026

Inter-Brain Synchrony in Open-Ended Collaborative Learning: An fNIRS-Hyperscanning Study
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ICAFS:用于垂直联合学习的客户间识别功能选择.

Ruochen Jin1,2, Boning Tong1, Shu Yang1

  • 1University of Pennsylvania, Philadelphia, PA, USA.

IEEE transactions on artificial intelligence
|February 13, 2026
PubMed
概括
此摘要是机器生成的。

本研究介绍了ICAFS,这是一个用于垂直联合学习 (VFL) 的特征选择的新方法. 通过考虑客户间特征交互,ICAFS提高了模型准确性,优于现有的方法.

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科学领域:

  • 机器学习 机器学习
  • 数据科学数据科学数据科学
  • 人工智能的人工智能

背景情况:

  • 垂直联合学习 (VFL) 能够在跨客户端分区的数据上进行协作模型培训.
  • 功能选择 (FS) 在VFL中至关重要,因为在客户端中分布式,独特的功能子集.
  • 在VFL中现有的FS方法往往忽略了关键的客户间特征交互,限制了模型性能.

研究的目的:

  • 为垂直联合学习 (VFL) 开发一种有效的特征选择 (FS) 方法,以考虑客户间特征交互.
  • 引入一种名为ICAFS的多阶段组合方法,用于在VFL中增强FS.
  • 通过解决客户内部专注FS的局限性,提高VFL的预测准确性.

主要方法:

  • 引入了ICAFS,这是一个多阶段的组合方法,用于VFL的特征选择.
  • 采用了条件特征合成和多个可学习特征选择器.
  • 使用合成嵌入的方便集体FS,绕过私人梯度共享.

主要成果:

  • 与最先进的方法相比,ICAFS在预测准确度方面表现优越.
  • 在多个现实世界数据集上的实验验验证了拟议方法的有效性.
  • 该方法使模型训练能够使用从真实数据中获得的精细嵌入式.

结论:

  • 通过考虑客户间的功能交互,ICAFS为垂直联合学习中的功能选择提供了有效的解决方案.
  • 拟议的方法通过私人梯度共享来提高模型性能,而不会损害数据隐私.
  • 通过复杂的特征选择,ICAFS代表了VFL的重大进步,提高了预测准确度.