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Proximal Gradient-Based Unfolding for Massive Random Access in IoT Networks
期刊论文
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 卷号: PP, 期号: 99, 页码: 1-1
作者:
Yinan Zou
;
Yong Zhou
;
Xu Chen
;
Yonina C. Eldar
Adobe PDF(1650Kb)
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收藏
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浏览/下载:387/39
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提交时间:2024/07/02
Channel estimation
Computer system recovery
Gradient methods
Internet of things
Neural networks
Signal reconstruction
Signal to noise ratio
Activity detection
Compressed-Sensing
Convergence
Gradient's methods
Joint activity
Joint activity detection and channel estimation
Massive random access
Neural-networks
Proximal gradient unfolding
Random access
Signal processing algorithms
Unfoldings
An intelligent process parameters optimization approach for directed energy deposition of nickel-based alloys using deep reinforcement learning
期刊论文
JOURNAL OF MANUFACTURING PROCESSES, 2023, 卷号: 120, 期号: 30 June 2024, 页码: 1130-1140
作者:
Shuai,Shi
;
Xuewen,Liu
;
Zhongan,Wang
;
Hai,Chang
;
Yingna,Wu
Adobe PDF(3961Kb)
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浏览/下载:408/3
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提交时间:2024/05/16
Cost effectiveness
Deep learning
Deposition
Heuristic methods
Nickel alloys
Optimization
Vickers hardness
Deep reinforcement learning
Directed energy
Directed energy deposition
Energy depositions
Policy optimization
Process parameters
Proximal policy optimization
Reinforcement learnings
Temperature simulator
Vickers hardness measurements
A Stochastic Second-Order Proximal Method for Distributed Optimization
期刊论文
IEEE CONTROL SYSTEMS LETTERS, 2023, 卷号: 7, 页码: 1405-1410
作者:
Chenyang Qiu
;
Shanying Zhu
;
Zichong Ou
;
Jie Lu
Adobe PDF(233Kb)
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浏览/下载:847/218
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提交时间:2023/03/17
Constrained optimization
Learning systems
Centralised
Distributed optimization
Local loss
Loss functions
Neighbourhood
Proximal methods
Second orders
Second-order methods
Stochastic optimizations
Stochastics
Distributed Optimization with Coupling Constraints
期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2023, 卷号: 68, 期号: 3, 页码: 1847-1854
作者:
Wu, Xuyang
;
Wang, He
;
Lu, Jie
Adobe PDF(800Kb)
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浏览/下载:1003/278
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提交时间:2022/05/20
Convex optimization
Linear programming
Mathematical transformations
Undirected graphs
Virtual addresses
Convergence
Convex functions
Convex optimisation
Coupling constraints
Distributed optimization
Inequality constraint
Linear-programming
Optimisations
Primal-dual methods
Proximal algorithm
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:358/0
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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
Inexact primal–dual gradient projection methods for nonlinear optimization on convex set
期刊论文
OPTIMIZATION, 2019
作者:
Zhang, Fan
;
Wang, Hao
;
Wang, Jiashan
;
Yang, Kai
Adobe PDF(2200Kb)
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浏览/下载:854/247
|
提交时间:2019/12/02
Inexact optimization
gradient projection methods
ℓ1-ball projection
first-order methods
proximal methods
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