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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：526/4
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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
Accelerating Quadratic Transform and WMMSE
会议论文
IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY - PROCEEDINGS, Athens, Greece, July 7, 2024 - July 12, 2024
作者:
Shen, Kaiming
;
Zhao, Ziping
;
Chen, Yannan
;
Zhang, Zepeng
;
Cheng, Hei Victor
Adobe PDF(1021Kb)
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浏览/下载：303/52
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提交时间：2024/09/20
Cramer-Rao bounds
Extrapolation
Fisher information matrix
Image segmentation
Linear transformations
Quadratic programming
Signal to noise ratio
Communications processing
Convergence rates
Crame Rao bounds
Fisher information
Fractional programming
Means square errors
Minimum mean squares
Programming problem
Signal processing problems
Signalto-interference-plus-noise ratios (SINR)
Accelerating Quadratic Transform and WMMSE
期刊论文
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2024, 卷号: PP, 期号: 99, 页码: 1-1
作者:
Shen, Kaiming
;
Zhao, Ziping
;
Chen, Yannan
;
Zhang, Zepeng
;
Cheng, Hei Victor
Adobe PDF(1021Kb)
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浏览/下载：358/77
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提交时间：2024/08/09
Acceleration
Array processing
Extrapolation
Fisher information matrix
MIMO systems
Signal interference
Signal to noise ratio
Array signal processing
Convergence
Convergence rates
Fractional programming
Means square errors
Minimum mean squares
Signal processing algorithms
Symmetric matrices
Weighted minimum mean square error
Convergence rate analysis of proximal iteratively reweighted 1 methods for p regularization problems
期刊论文
OPTIMIZATION LETTERS, 2022, 卷号: 17, 期号: 2, 页码: 413-435
作者:
Wang, Hao
;
Zeng, Hao
;
Wang, Jiashan
Adobe PDF(707Kb)
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浏览/下载：1066/240
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提交时间：2022/08/12
Algorithm for solving
Convergence rates
Iteratively reweighted algorithm
Kurdyka–&lstrok
ojasiewicz property
Local Convergence
Property
Rate analysis
Regularisation
Sparse solutions
&ell
p regularization
Communication-Efficient Quantized SGD for Learning Polynomial Neural Network
会议论文
CONFERENCE PROCEEDINGS OF THE IEEE INTERNATIONAL PERFORMANCE, COMPUTING, AND COMMUNICATIONS CONFERENCE, Austin, TX, United states, October 29, 2021 - October 31, 2021
作者:
Zhanpeng Yang
;
Yong Zhou
;
Youlong Wu
;
Yuanming Shi
Adobe PDF(2610Kb)
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浏览/下载：599/0
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提交时间：2022/07/01
Convex optimization
Cost reduction
Gradient methods
Optimal systems
Stochastic systems
Communication efficiency
Convergence analysis
Convergence rates
Neural-networks
Nonconvex optimization
Optimal solutions
Polynomial neural network
Quantized stochastic gradient descent
Stochastic gradient descent
Stochastic gradient descent algorithm
A Distributed Proximal Primal-Dual Algorithm for Nonsmooth Optimization with Coupling Constraints
会议论文
PROCEEDINGS OF THE IEEE CONFERENCE ON DECISION AND CONTROL, Virtual, Jeju Island, Korea, Republic of, December 14, 2020 - December 18, 2020
作者:
Xuyang Wu
;
He Wang
;
Jie Lu
Adobe PDF(444Kb)
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浏览/下载：432/0
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提交时间：2022/12/09
Virtual addresses
Convex optimization problems
Coupling constraints
Equality constraints
Linear equality constraints
Nonlinear inequality
Nonsmooth optimization
Primal dual algorithms
Rates of convergence
An Inexact Fenchel Dual Gradient Algorithm for Distributed Optimization
会议论文
IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION, ICCA, Virtual, Sapporo, Hokkaido, Japan, October 9, 2020 - October 11, 2020
作者:
He Wang
;
Jie Lu
Adobe PDF(382Kb)
|
收藏
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浏览/下载：410/0
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提交时间：2022/12/09
Constrained optimization
Convex optimization
Computer vision
Computational loads
Constrained convex optimizations
Convergence performance
Convex minimization
Distributed optimization
Gradient algorithm
Objective functions
Rates of convergence
Fast Thermoacoustic Imaging Based on Compressive Sensing Applying an Effective Algorithm
会议论文
PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL ELECTROMAGNETICS (ICCEM 2020), Singapore, SINGAPORE, AUG 24-26, 2020
作者:
Baosheng Wang
;
Zhicheng Wang
;
Xiong Wang
Adobe PDF(430Kb)
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浏览/下载：280/0
|
提交时间：2021/04/23
Comprevsive sensing
thennoaconstie imaging (TAI)
Iterative methods
Thermoacoustics
Compressive sensing
Convergence rates
Effective algorithms
Faster convergence
Gradient projections
Iterative shrinkage-thresholding algorithms
Sparse reconstruction
Thermoacoustic imaging
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