CAREER: Efficient Mobile Edge Oriented Deep Learning Framework

职业:高效的面向移动边缘的深度学习框架

基本信息

  • 批准号:
    2145389
  • 负责人:
  • 金额:
    $ 54.33万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-03-01 至 2027-02-28
  • 项目状态:
    未结题

项目摘要

Mobile edge computing has been widely used in many applications in these years. However, there is a gap between the extreme computational costs of prevalent deep learning techniques and resource-constrained mobile edge computing systems. Such a gap prevents many deep learning methods from being widely deployed in mobile edge devices. It also significantly impacts the performance of a broad range of real-time mobile edge applications (e.g., driving behavior analysis, object identification, and natural language processing). This project aims to develop a novel mobile edge-oriented deep learning framework that can significantly improve the performance and efficiency of deep neural networks (DNNs) on mobile edge devices. Toward this end, this project systematically investigates challenging research problems in the life cycle of DNNs, including architecture design, model optimization, computation reduction, and computing acceleration. It develops efficient DNN models that can achieve efficient training and inference on mobile edge devices. It also investigates unique characteristics of mobile edge data and hardware and accelerates DNN executions on resource-constrained mobile edge devices through computation reuse and dynamic partitioning and scheduling. This project connects advanced research in mobile edge sensing and computing systems. The developed framework leads to a solid foundation for DNN and computer architecture design and optimization for mobile edge devices. It also strengthens the foundational technology and analysis in designing cost-effective computer systems and architectures for real-time mobile edge applications. The project results significantly improve the efficiency of deep learning in a large spectrum of research related to mobile edge computing, including the Internet of Things, mobile and pervasive sensing, and human-computer interaction. The outcomes of the proposal can improve hardware resource utilization in real-time data analytics, leading to increased efficiency of scientific outputs in many interdisciplinary communities. In addition to sharing results with the community, this project can benefit interdisciplinary curriculums with new research topics and tasks for undergraduate/graduate and minority students. The education program also includes outreach efforts to a broad range of student programs from K-5 to K-12 with local partners.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
这些年来,移动边缘计算已在许多应用中广泛使用。但是,普遍的深度学习技术的极端计算成本与资源约束的移动边缘计算系统之间存在差距。这样的差距阻止了许多深度学习方法被广泛部署在移动边缘设备中。它还显着影响了广泛的实时移动边缘应用程序的性能(例如,驾驶行为分析,对象识别和自然语言处理)。该项目旨在开发一个新型的面向移动边缘的深度学习框架,可以显着提高移动边缘设备上深神经网络(DNNS)的性能和效率。为此,该项目系统地研究了DNN的生命周期中有挑战性的研究问题,包括建筑设计,模型优化,减少计算和计算加速度。它开发了有效的DNN模型,可以在移动边缘设备上进行有效的培训和推断。它还通过计算重用和动态分区和调度来研究移动边缘数据和硬件的独特特征,并加速了在资源受限的移动边缘设备上执行DNN的执行。该项目连接移动边缘传感和计算系统中的高级研究。开发的框架为移动边缘设备的DNN和计算机架构设计和优化奠定了坚实的基础。它还在设计实时移动边缘应用程序的成本效益的计算机系统和架构时,还可以增强基础技术和分析。该项目的结果显着提高了与移动边缘计算相关的大量研究中深度学习的效率,包括物联网,移动和普遍的感测以及人类计算机的互动。该提案的结果可以改善实时数据分析中的硬件资源利用,从而提高了许多跨学科社区的科学产出效率。除了与社区分享结果外,该项目还可以使本科/研究生和少数民族学生的新研究主题和任务受益。该教育计划还包括与本地合作伙伴一起进行从K-5到K-12的各种学生计划的宣传工作。该奖项反映了NSF的法定任务,并被认为是值得通过基金会的知识分子优点和更广泛的影响评估标准通过评估来获得支持的。

项目成果

期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
mmFit: Low-Effort Personalized Fitness Monitoring Using Millimeter Wave
Defending against Thru-barrier Stealthy Voice Attacks via Cross-Domain Sensing on Phoneme Sounds
通过音素声音的跨域感知防御穿墙隐形语音攻击
Stealthy Backdoor Attack on RF Signal Classification
A Survey of Deep Learning on Mobile Devices: Applications, Optimizations, Challenges, and Research Opportunities
移动设备深度学习调查:应用、优化、挑战和研究机会
  • DOI:
    10.1109/jproc.2022.3153408
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    20.6
  • 作者:
    Zhao, Tianming;Xie, Yucheng;Wang, Yan;Cheng, Jerry;Guo, Xiaonan;Hu, Bin;Chen, Yingying
  • 通讯作者:
    Chen, Yingying
Universal Targeted Adversarial Attacks Against mmWave-based Human Activity Recognition
  • DOI:
    10.1109/infocom53939.2023.10228887
  • 发表时间:
    2023-05
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yucheng Xie;Ruizhe Jiang;Xiaonan Guo;Yan Wang;Jerry Q. Cheng;Yingying Chen
  • 通讯作者:
    Yucheng Xie;Ruizhe Jiang;Xiaonan Guo;Yan Wang;Jerry Q. Cheng;Yingying Chen
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Yan Wang其他文献

Analysis of Phosphatidylinositol 3-kinase Activation in the Adipose Tissue of Gestational Diabetes Mellitus Patients and Insulin Resistance *
妊娠期糖尿病患者脂肪组织中磷脂酰肌醇 3-激酶激活与胰岛素抵抗的分析 *
  • DOI:
  • 发表时间:
    2010
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Yong;Wenjuan Liu;Qing Cui;Guijiao Feng;Yan Wang;Xueqiang Jiang
  • 通讯作者:
    Xueqiang Jiang
Self-synthesized second mitochondria-derived activator of caspase (SMAC) mimetic TP-WY-1345 enhances the radiosensitivity of NSCLC cells H1299 by targeting anti-apoptotic protein cIAP1
自行合成的第二种线粒体衍生的半胱天冬酶激活剂(SMAC)模拟物TP-WY-1345通过靶向抗凋亡蛋白cIAP1增强NSCLC细胞H1299的放射敏感性
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Hao Sun;Fengting Liu;Hezheng Zhai;Jiang Wu;Shasha Nie;Hui Cai;Kaixue Wen;Lili Feng;Qiang Liu;Kaihua Ji;Yan Wang
  • 通讯作者:
    Yan Wang
Determining total corneal power after small-incision lenticule extraction in myopic eyes
近视眼小切口角膜基质摘除术后角膜总屈光力的测定
Effects of iron and phosphorus on Microcystis physiological reactions.
铁和磷对微囊藻生理反应的影响。
[The expression analysis of Grb10 during mouse embryonic development].
Grb10在小鼠胚胎发育过程中的表达分析
  • DOI:
  • 发表时间:
    2009
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Qi Liu;Yan Wang;Yan Chen;Fengwei Zhang;Tiantian Gu;You;L. Yue;Qiong Wu
  • 通讯作者:
    Qiong Wu

Yan Wang的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Yan Wang', 18)}}的其他基金

Spatial Explanation and Planning for Resilience of Community-Based Small Businesses to Environmental Shocks
基于社区的小型企业对环境冲击的抵御能力的空间解释和规划
  • 批准号:
    2316450
  • 财政年份:
    2023
  • 资助金额:
    $ 54.33万
  • 项目类别:
    Standard Grant
Collaborative Research: III: Small: Efficient and Robust Multi-model Data Analytics for Edge Computing
协作研究:III:小型:边缘计算的高效、稳健的多模型数据分析
  • 批准号:
    2311597
  • 财政年份:
    2023
  • 资助金额:
    $ 54.33万
  • 项目类别:
    Standard Grant
Collaborative Research: Cross-plane Heat Conduction in 2D Materials under Large Compressive Strain
合作研究:大压缩应变下二维材料的横向热传导
  • 批准号:
    2211696
  • 财政年份:
    2022
  • 资助金额:
    $ 54.33万
  • 项目类别:
    Standard Grant
Collaborative Research: CCRI: New: Nation-wide Community-based Mobile Edge Sensing and Computing Testbeds
合作研究:CCRI:新:全国范围内基于社区的移动边缘传感和计算测试平台
  • 批准号:
    2120276
  • 财政年份:
    2021
  • 资助金额:
    $ 54.33万
  • 项目类别:
    Standard Grant
CAREER: Fundamental Investigation of the Wave Nature of Lattice Thermal Transport
职业:晶格热传输波性质的基础研究
  • 批准号:
    2047109
  • 财政年份:
    2021
  • 资助金额:
    $ 54.33万
  • 项目类别:
    Continuing Grant
SCC-PG: SmartCurb: Building Smart Urban Curb Environments
SCC-PG:SmartCurb:构建智能城市路缘环境
  • 批准号:
    2124858
  • 财政年份:
    2021
  • 资助金额:
    $ 54.33万
  • 项目类别:
    Standard Grant
RII Track-4: Low-temperature Laser Sintering and Melting of Semiconductors Through Selective Excitation of Soft Phonons
RII Track-4:通过软声子的选择性激发实现半导体的低温激光烧结和熔化
  • 批准号:
    2033424
  • 财政年份:
    2021
  • 资助金额:
    $ 54.33万
  • 项目类别:
    Standard Grant
RAPID: Dynamic Interactions between Human and Information in Complex Online Environments Responding to SARS-COV-2
RAPID:复杂在线环境中人与信息之间的动态交互,应对 SARS-COV-2
  • 批准号:
    2028012
  • 财政年份:
    2020
  • 资助金额:
    $ 54.33万
  • 项目类别:
    Standard Grant
Collaborative Research: PPoSS: Planning: Hardware-accelerated Trustworthy Deep Neural Network
合作研究:PPoSS:规划:硬件加速的可信深度神经网络
  • 批准号:
    2028858
  • 财政年份:
    2020
  • 资助金额:
    $ 54.33万
  • 项目类别:
    Standard Grant
CDS&E: Nanoconfined Heating via Ultrahigh-repetition-rate Lasers for Enhanced Surface Processing
CDS
  • 批准号:
    1953300
  • 财政年份:
    2020
  • 资助金额:
    $ 54.33万
  • 项目类别:
    Standard Grant

相似国自然基金

仿生分层的新型异相铜生物正交纳米催化剂用于高效的抗菌治疗
  • 批准号:
    22305194
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
高效的分布式大型机器学习模型训练系统
  • 批准号:
    62302420
  • 批准年份:
    2023
  • 资助金额:
    30.00 万元
  • 项目类别:
    青年科学基金项目
安全高效的点对点内容分发网络关键技术研究
  • 批准号:
    62302403
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
公平高效的多维云计算资源分配机制设计
  • 批准号:
    12301412
  • 批准年份:
    2023
  • 资助金额:
    30 万元
  • 项目类别:
    青年科学基金项目
大豆氮高效的调控机制与分子设计
  • 批准号:
    32372130
  • 批准年份:
    2023
  • 资助金额:
    50 万元
  • 项目类别:
    面上项目

相似海外基金

PFI-RP: Resilient and Energy-Efficient Memory Chips for Enhanced Mobile AI and Personalized Machine Learning
PFI-RP:用于增强移动人工智能和个性化机器学习的弹性和节能内存芯片
  • 批准号:
    2345655
  • 财政年份:
    2024
  • 资助金额:
    $ 54.33万
  • 项目类别:
    Standard Grant
SBIR Phase I: Scalable Manufacturing Technology for Mobile Signal Penetrating Energy-Efficient Low-Emissivity Windows
SBIR 第一阶段:移动信号穿透节能低发射率窗户的可扩展制造技术
  • 批准号:
    2233675
  • 财政年份:
    2023
  • 资助金额:
    $ 54.33万
  • 项目类别:
    Standard Grant
CRII: CPS: Towards Efficient Shared Electric Micromobility: An Interaction-aware Management Framework for Mobile Cyber-Physical Systems
CRII:CPS:迈向高效共享电动微移动:移动网络物理系统的交互感知管理框架
  • 批准号:
    2246080
  • 财政年份:
    2023
  • 资助金额:
    $ 54.33万
  • 项目类别:
    Standard Grant
Towards efficient, next-generation perovskite-based multi-junction cells: The role of interfacial recombination, mobile ions and the built-in potential
迈向高效的下一代基于钙钛矿的多结电池:界面重组、移动离子和内置电势的作用
  • 批准号:
    498155101
  • 财政年份:
    2022
  • 资助金额:
    $ 54.33万
  • 项目类别:
    Heisenberg Grants
Collaborative Research: NeTS: JUNO3: SWIFT: Softwarization of Intelligence for Efficient 6G Mobile Networks
合作研究:NeTS:JUNO3:SWIFT:高效 6G 移动网络的智能软件化
  • 批准号:
    2210252
  • 财政年份:
    2022
  • 资助金额:
    $ 54.33万
  • 项目类别:
    Continuing Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了