咨询与建议

限定检索结果

文献类型

  • 113 篇 会议
  • 59 篇 期刊文献

馆藏范围

  • 172 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 94 篇 工学
    • 56 篇 信息与通信工程
    • 41 篇 计算机科学与技术...
    • 30 篇 软件工程
    • 18 篇 电子科学与技术(可...
    • 14 篇 电气工程
    • 12 篇 动力工程及工程热...
    • 10 篇 控制科学与工程
    • 7 篇 光学工程
    • 6 篇 仪器科学与技术
    • 6 篇 航空宇航科学与技...
    • 3 篇 机械工程
    • 3 篇 建筑学
    • 3 篇 交通运输工程
    • 3 篇 生物工程
    • 3 篇 网络空间安全
    • 2 篇 冶金工程
    • 2 篇 土木工程
  • 33 篇 理学
    • 17 篇 数学
    • 10 篇 物理学
    • 6 篇 统计学(可授理学、...
    • 5 篇 系统科学
    • 4 篇 生物学
    • 2 篇 化学
  • 19 篇 管理学
    • 13 篇 管理科学与工程(可...
    • 8 篇 工商管理
    • 4 篇 公共管理
  • 7 篇 医学
    • 4 篇 公共卫生与预防医...
    • 3 篇 基础医学(可授医学...
    • 3 篇 临床医学
  • 4 篇 法学
    • 4 篇 社会学
  • 1 篇 经济学
  • 1 篇 教育学
  • 1 篇 军事学

主题

  • 22 篇 bandwidth
  • 17 篇 traffic control
  • 15 篇 telecommunicatio...
  • 12 篇 quality of servi...
  • 11 篇 laboratories
  • 11 篇 channel allocati...
  • 10 篇 delay
  • 8 篇 energy consumpti...
  • 8 篇 optical network ...
  • 8 篇 passive optical ...
  • 8 篇 computer network...
  • 7 篇 fading
  • 7 篇 resource managem...
  • 7 篇 switches
  • 6 篇 computer science
  • 6 篇 base stations
  • 6 篇 throughput
  • 6 篇 epon
  • 6 篇 protocols
  • 6 篇 broadcasting

机构

  • 25 篇 advanced network...
  • 11 篇 state key labora...
  • 11 篇 advanced network...
  • 5 篇 ieee
  • 5 篇 advanced network...
  • 4 篇 department of co...
  • 4 篇 university centr...
  • 4 篇 karachi pakistan
  • 4 篇 health managemen...
  • 4 篇 department of pu...
  • 4 篇 suraj eye instit...
  • 4 篇 beijing advanced...
  • 4 篇 i-networking lab...
  • 4 篇 advanced network...
  • 4 篇 nec laboratories...
  • 3 篇 department of ph...
  • 3 篇 health systems a...
  • 3 篇 school of electr...
  • 3 篇 biomedical resea...
  • 3 篇 julius centre fo...

作者

  • 34 篇 nirwan ansari
  • 22 篇 n. ansari
  • 20 篇 ansari nirwan
  • 5 篇 yuanqiu luo
  • 5 篇 e. hou
  • 5 篇 tao han
  • 5 篇 yan zhang
  • 4 篇 gang cheng
  • 4 篇 f. richard yu
  • 3 篇 niyato dusit
  • 3 篇 kiani abbas
  • 3 篇 jiang liu
  • 3 篇 mirica andreea
  • 3 篇 dandona rakhi
  • 3 篇 majeed azeem
  • 3 篇 el sayed zaki ma...
  • 3 篇 chattu vijay kum...
  • 3 篇 mohammed shafiu
  • 3 篇 zheng jie
  • 3 篇 dandona lalit

语言

  • 155 篇 英文
  • 13 篇 其他
  • 4 篇 中文
检索条件"机构=Advanced Networking LaboratoryElectrical and Computer Engineering Department"
172 条 记 录,以下是11-20 订阅
排序:
Dynamic Encoding and Decoding of Information for Split Learning in Mobile-Edge Computing: Leveraging Information Bottleneck Theory
Dynamic Encoding and Decoding of Information for Split Learn...
收藏 引用
IEEE Conference on Global Communications (GLOBECOM)
作者: Omar Alhussein Moshi Wei Arashmid Akhavain Department of Electrical Engineering and Computer Science Khalifa University Abu Dhabi UAE Advanced Networking Team Huawei Ottawa Research & Development Centre Ottawa Canada Department of Computer Science York University Toronto Canada
Split learning is a privacy-preserving distributed learning paradigm in which an ML model (e.g., a neural network) is split into two parts (i.e., an encoder and a decoder). The encoder shares so-called latent represen...
来源: 评论
FedEx: Expediting Federated Learning over Heterogeneous Mobile Devices by Overlapping and Participant Selection
收藏 引用
IEEE Transactions on Mobile Computing 2025年
作者: Geng, Jiaxiang Li, Boyu Qin, Xiaoqi Li, Yixuan Li, Liang Hou, Yanzhao Pan, Miao Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing100876 China Taiyuan University of Technology College of Electronic Information Engineering Taiyuan030024 China Peng Cheng Laboratory Department of Advanced Interdisciplinary Research 518055 China University of Houston Department of Electrical and Computer Engineering HoustonTX77204 United States
Training latency is critical for the success of numerous intrigued applications ignited by federated learning (FL) over heterogeneous mobile devices. By revolutionarily overlapping local gradient transmission with con... 详细信息
来源: 评论
Dynamic Encoding and Decoding of Information for Split Learning in Mobile-Edge Computing: Leveraging Information Bottleneck Theory
arXiv
收藏 引用
arXiv 2023年
作者: Alhussein, Omar Wei, Moshi Akhavain, Arashmid Department of Electrical Engineering and Computer Science Khalifa University Abu Dhabi United Arab Emirates Advanced Networking Team Huawei Ottawa Research & Development Centre Ottawa Canada Department of Computer Science York University Toronto Canada
Split learning is a privacy-preserving distributed learning paradigm in which an ML model (e.g., a neural network) is split into two parts (i.e., an encoder and a decoder). The encoder shares so-called latent represen... 详细信息
来源: 评论
Numerical Analysis of Soliton Propagation in a Tapered Waveguide
收藏 引用
Journal of Optical Communications 2023年 第4期44卷 535-538页
作者: Raja, M.A. Ranathive, S. Sivaram, M. Krishna Kumar, L. Vinoth Kumar, K. Amiri, Iraj S Department of Biomedical Engineering Dr. N.G.P. Institute of Technology Coimbatore India Department of CSE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India Department of Computer Networking Lebanese French University Kurdistan Region Erbil Iraq Department of CSE Nehru Institute of Engineering & Technology Coimbatore India Department of EEE Karunya Institute of Technology and Sciences Coimbatore India Computational Optics Research Group Advanced Institute of Materials Science Ton Duc Thang University Ho Chi Minh City Viet Nam Faculty of Applied Sciences Ton Duc Thang University Ho Chi Minh City Viet Nam
In this paper, dispersion decreased profiled tapered fiber is designed whose dispersion characteristics and soliton propagation is investigated numerically using Darboux transformation. The result reveals that soliton... 详细信息
来源: 评论
Anomaly-Resistant Decentralized State Estimation Under Minimum Error Entropy With Fiducial Points for Wide-Area Power Systems
收藏 引用
IEEE/CAA Journal of Automatica Sinica 2024年 第1期11卷 74-87页
作者: Bogang Qu Zidong Wang Bo Shen Hongli Dong Hongjian Liu the College of Automation Engineering Shanghai University of Electric PowerShanghai 200090China IEEE the Department of Computer Science Brunel University LondonUxbridgeMiddiesex UB83PHUK the College of Information Science and Technology Donghua UniversityShanghai 200051 the Engineering Research Center of Digitalized Textile and Fashion Technology Ministry of EducationShanghai 201620China the Artificial Intelligence Energy Research Institute Northeast Petroleum UniversityDaqing 163318 the Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control Northeast PetroleumDaqing 163318 the Sanya Offshore Oil&Gas Research Institute Northeast Petroleum UniversitySanya 572024China the Key Laboratory of Advanced Perception and Intelligent Control of High-End Equipment Ministry of EducationAnhui Polytechnic UniversityWuhu 2410000 the School of Mathematics and Physics Anhui Polytechnic UniversityWuhu 241000China
This paper investigates the anomaly-resistant decentralized state estimation(SE) problem for a class of wide-area power systems which are divided into several non-overlapping areas connected through transmission lines... 详细信息
来源: 评论
Enabling Support for TLS and TLS Fingerprinting in Network Stack Tester
Enabling Support for TLS and TLS Fingerprinting in Network S...
收藏 引用
IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
作者: Nitin Dabi Mohit P. Tahiliani Vishal J. Rathod Department of Computer Science and Engineering Wireless Information Networking Group (WiNG) National Institute of Technology Karnataka Mangalore Karnataka India Internet of Things - Research and Development Group Centre for Development of Advanced Computing (C-DAC) Bengaluru Karnataka India
Transport Layer Security (TLS) is the standard protocol widely used for securing client-server communications over the Internet. It ensures the confidentiality and integrity of data transmitted between systems. With t... 详细信息
来源: 评论
Design and Development of an Emulation Model for VPN and VPN Bonding
Design and Development of an Emulation Model for VPN and VPN...
收藏 引用
IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
作者: Kaustubh Sharma Mohit P. Tahiliani Vishal J. Rathod Department of Computer Science and Engineering Wireless Information Networking Group (WiNG) National Institute of Technology Karnataka Mangalore Karnataka India Internet of Things - Research and Development Group Centre for Development of Advanced Computing (C-DAC) Bengaluru Karnataka India
Virtual Private Networks (VPNs) have become indispensable for organizations seeking secure remote network access, with a significant rise in their adoption. While the COVID-19 pandemic initially fueled the surge in re... 详细信息
来源: 评论
Accelerating Convolutional Neural Networks via Inter-operator Scheduling
Accelerating Convolutional Neural Networks via Inter-operato...
收藏 引用
International Conference on Parallel and Distributed Systems (ICPADS)
作者: Yi You Pangfeng Liu Ding-Yong Hong Jan-Jan Wu Wei-Chung Hsu Department of Computer Science and Information Engineering National Taiwan University Graduate Institute of Networking and Multimedia National Taiwan University Graduate School of Advanced Technology National Taiwan University Institute of Information Science Academia Sinica
Convolution neural networks (CNNs) are essential in many machine learning tasks. Current deep learning frameworks and compilers usually treat the neutral network as a DAG (directed acyclic graph) of tensor operations ... 详细信息
来源: 评论
FedEx: Expediting Federated Learning over Heterogeneous Mobile Devices by Overlapping and Participant Selection
arXiv
收藏 引用
arXiv 2024年
作者: Geng, Jiaxiang Li, Boyu Qin, Xiaoqi Li, Yixuan Li, Liang Hou, Yanzhao Pan, Miao State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing100876 China College of Electronic Information Engineering Taiyuan University of Technology Taiyuan030024 China Department of Advanced Interdisciplinary Research Pengcheng Laboratory 518055 China Department of Electrical and Computer Engineering University of Houston HoustonTX77204 United States
Training latency is critical for the success of numerous intrigued applications ignited by federated learning (FL) over heterogeneous mobile devices. By revolutionarily overlapping local gradient transmission with con... 详细信息
来源: 评论
A Privacy Preserving and Byzantine Robust Collaborative Federated Learning Method Design
A Privacy Preserving and Byzantine Robust Collaborative Fede...
收藏 引用
IEEE International Conference on Communications (ICC)
作者: Nuocheng Yang Sihua Wang Mingzhe Chen Changchuan Yin Christopher G. Brinton Beijing Laboratory of Advanced Information Network Beijing University of Posts and Telecommunications Beijing China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China Department of Electrical and Computer Engineering Institute for Data Science and Computing University of Miami Coral Gables FL USA School of Electrical and Computer Engineering Purdue University West Lafayette IN USA
Collaborative federated learning (CFL) enables device cooperation in training shared machine learning models without reliance on a parameter server. However, the absence of a parameter server also impacts vulnerabilit... 详细信息
来源: 评论