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Energy-Efficient Optimal Mode Selection for Edge AI Inference via Integrated Sensing-Communication-Computation
期刊论文
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2024, 卷号: 23, 期号: 12, 页码: 14248-14262
作者:
Liu, Shu
;
Wen, Dingzhu
;
Li, Da
;
Chen, Qimei
;
Zhu, Guangxu
Adobe PDF(23894Kb)
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浏览/下载：389/7
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提交时间：2024/08/23
Task analysis
Servers
Feature extraction
Sensors
Accuracy
Computational modeling
Performance evaluation
Edge AI inference
mode selection
integrated sensing-communication-computation
task-oriented communications
Federated Learning With Energy Harvesting Devices
期刊论文
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, 2024, 卷号: 8, 期号: 1, 页码: 190-204
作者:
Li Zeng
;
Dingzhu Wen
;
Guangxu Zhu
;
Changsheng You
;
Qimei Chen
Adobe PDF(6134Kb)
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浏览/下载：545/5
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提交时间：2023/09/22
Channel state information
Data privacy
Dynamic programming
Energy harvesting
Information management
Iterative methods
Job analysis
Resource allocation
Computational modelling
Convergence
Convergence rates
Data utilities
Device selection
Distributed resource allocation
Federated learning
Resource management
Sub-carriers
Task analysis
Task-oriented Explainable Semantic Communications
期刊论文
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2023, 卷号: PP, 期号: 99, 页码: 1-1
作者:
Shuai Ma
;
Weining Qiao
;
Youlong Wu
;
Hang Li
;
Guangming Shi
Adobe PDF(3471Kb)
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浏览/下载：500/94
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提交时间：2023/06/09
Computation theory
Data mining
Deep learning
Electric distortion
Feature extraction
Radio transceivers
Signal distortion
Communication prototypes
Communications systems
Explainable semantic communication
Features extraction
Features selection
Semantic communication
Semantic communication prototype
Task analysis
Wireless communications
Peer Offloading with Delayed Feedback in Fog Networks
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 17, 页码: 13690-13702
作者:
Miao Yang
;
Hongbin Zhu
;
Hua Qian
;
Yevgeni Koucheryavy
;
Konstantin Samouylov
Adobe PDF(785Kb)
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浏览/下载：586/189
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提交时间：2021/12/03
Fog
Computation burden
Computation offloading
Contention resolution
Delayed information
Performance analysis
Performance metrices
Real
time application
Selection problems
Task analysis
Computational modeling
Peer-to-peer computing
Internet of Things
Real-time systems
Heuristic algorithms
Edge computing
Adversarial multiarm bandit
delayed feedback
fog computing
reinforcement learning
task offloading
Trustworthy and Cost-Effective Cell Selection for Sparse Mobile Crowdsensing Systems
期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 卷号: 70, 期号: 6, 页码: 6108-6121
作者:
Peng Sun
;
Zhibo Wang
;
Liantao Wu
;
Huajie Shao
;
Hairong Qi
Adobe PDF(2271Kb)
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浏览/下载：304/0
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提交时间：2021/07/23
Sensors
Computer architecture
Microprocessors
Task analysis
Robot sensing systems
Particle measurements
Atmospheric measurements
Sparse mobile crowdsensing
cell selection
trustworthy participants
sensing cost heterogeneity
Sparse Optimization for Green Edge AI Inference
期刊论文
JOURNAL OF COMMUNICATIONS AND INFORMATION NETWORKS, 2020, 卷号: 5, 期号: 1, 页码: 1-15
作者:
Xiangyu Yang
;
Sheng Hua
;
Yuanming Shi
;
Hao Wang
;
Jun Zhang
Adobe PDF(1522Kb)
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浏览/下载：371/0
|
提交时间：2020/07/22
AI
edge inference
cooperative transmission
energy efficiency
group sparse beamforming
proximal iteratively reweighted algorithm
Inference engines
Beamforming
Combinatorial optimization
Electric power utilization
Deep learning
Iterative methods
Cooperative transmission
Edge inference
Group sparse
Group sparse beamforming
Group sparsities
Learning tasks
Network edges
Proximal iteratively reweighted algorithm
Sparse optimizations
Task selection
PEER TO PEER OFFLOADING WITH DELAYED FEEDBACK: AN ADVERSARY BANDIT APPROACH
会议论文
2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, Barcelona, SPAIN, MAY 04-08, 2020
作者:
Yang, Miao
;
Zhu, Hongbin
;
Wang, Haifeng
;
Koucheryavy, Yevgeni
;
Samouylov, Konstantin
Adobe PDF(646Kb)
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浏览/下载：178/0
|
提交时间：2022/11/08
Fog computing
adversary multi-arm bandit
reinforcement learning
task offloading
delayed feed-back
Fog
Quality of service
computation offloading
Computation offloading
Delayed feedback
Online learning
Peer to peer
Quality of experience (QoE)
Real-time application
Selection problems
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