Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Aggregates Classification01:29

Aggregates Classification

303
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
303
Classification of Systems-I01:26

Classification of Systems-I

169
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
169
Classification of Systems-II01:31

Classification of Systems-II

134
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
134
Force Classification01:22

Force Classification

1.1K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
1.1K
Classification of Neurotransmitters01:30

Classification of Neurotransmitters

2.6K
Neurotransmitters play a crucial role in the communication between neurons in the autonomic nervous system. Neurons in the autonomic nervous system can be cholinergic or adrenergic depending on the neurotransmitters synthesized. Cholinergic neurons use acetylcholine as their primary neurotransmitter. This includes all the preganglionic fibers of the sympathetic and pre- and postganglionic fibers of the parasympathetic nervous systems. In addition, neurons of the somatic nervous system also use...
2.6K
Cognitive Learning01:21

Cognitive Learning

220
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
220

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Quantitative Lipidomics Reveals Dynamic Lipid Profiles in <i>Cinnamomum camphora</i> Seed Kernels at Different Developmental Stages.

Plants (Basel, Switzerland)·2026
Same author

Knowledge Graph Augmented Large Language Models for Disease Prediction.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science·2026
Same author

Enhanced Atrial Fibrillation Prediction in ESUS Patients with Hypergraph-based Pre-training.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science·2026
Same author

ClinNoteAgents: An LLM Multi-Agent System for Predicting and Interpreting Heart Failure 30-Day Readmission from Clinical Notes.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science·2026
Same author

Minimum Inoculum of Resistance Assay for Evaluating Antitoxoplasmosis Compounds That Target Phenylalanine tRNA Synthetase.

ACS infectious diseases·2026
Same author

Targeting CDK4/6 potentiates the efficacy of anti-CD47 therapy via modulating the suppressive function of tumor-associated macrophages.

Apoptosis : an international journal on programmed cell death·2026
Same journal

Leveraging Vulnerabilities in Temporal Graph Neural Networks via Strategic High-Impact Assaults.

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management·2026
Same journal

MUSE: A Multi-slice Joint Analysis Method for Spatial Transcriptomics Experiments.

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management·2026
Same journal

Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing.

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management·2025
Same journal

Enhanced Privacy Bound for Shuffle Model with Personalized Privacy.

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management·2025
Same journal

Continually-Adaptive Representation Learning Framework for Time-Sensitive Healthcare Applications.

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management·2025
Same journal

Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation.

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management·2025
查看所有相关文章

相关实验视频

Updated: Jun 6, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

468

在分布式自我网络上进行联合节点分类,具有安全的对比嵌入式共享共享.

Han Xie1, Li Xiong1, Carl Yang1

  • 1Emory University, Atlanta, GA, United States.

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management
|December 2, 2024
PubMed
概括
此摘要是机器生成的。

联合图形学习 (FGL) 现在通过共享节点嵌入来支持自我网络,增强隐私和准确性. 这种方法解决了分布式设置中不完整的邻里数据,改善了图形神经网络训练.

关键词:
相反的学习学习.效率 效率是指效率是指效率.自我网络 自我网络联邦学习学习 (Federated Learning) 是一种学习方式.图形神经网络的神经网络隐私 隐私 隐私 隐私 隐私 隐私安全共享的安全共享.

更多相关视频

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.3K
Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

6.9K

相关实验视频

Last Updated: Jun 6, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

468
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

1.3K
Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

6.9K

科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 机器学习 机器学习

背景情况:

  • 联合图形学习 (FGL) 能够在分布式图形数据上进行协作学习,同时保持数据隐私.
  • 现有的FGL方法通常假设客户端持有整个图表或图表分区,而不是个别的自我网络.
  • 自我网络设置存在独特的挑战,原因是非自我节点的邻里信息不完整.

研究的目的:

  • 为分布式自我网络量身定制的新型FGL方法提出建议.
  • 为了应对在自我网络设置中不完整的邻里信息的挑战.
  • 在分散图形数据上的联合学习中增强隐私和准确性.

主要方法:

  • 为分布式自我网络开发了一种FGL方法,涉及节点嵌入共享.
  • 实现了对比式学习机制,以对准本地和全球节点嵌入.
  • 使用安全的嵌入式共享协议来保护节点身份和隐私.

主要成果:

  • 在各种联合模型共享框架中展示了拟议的嵌入式共享方法的有效性.
  • 通过使用自我网络数据,在FGL任务中表现得更好.
  • 验证了该方法处理不完整邻里信息的能力.

结论:

  • 拟议的FGL方法有效地解决了分布式自我网络中的挑战.
  • 嵌入与对比学习和安全协议共享增强隐私和模型性能.
  • 需要进一步的研究,以减轻潜在的效率和隐私缺点.