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Clustered Federated Multi-Task Learning: A Communication-and-Computation Efficient Sparse Sharing Approach
期刊论文
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2025, 卷号: PP, 期号: 99
作者:
Yuhan Ai
;
Qimei Chen
;
Guangxu Zhu
;
Dingzhu Wen
;
Hao Jiang
Adobe PDF(3720Kb)
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浏览/下载:35/3
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提交时间:2025/03/10
Adversarial machine learning
Benchmarking
Contrastive Learning
Federated learning
Multi-task learning
Transfer learning
Clusterings
Communication resources
Distributed data
Federated multi-task learning
Model pruning
Multitask learning
Performance
Personalized model
Sparse sharing
Sparsity ratios
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: 1-15
作者:
Liu, Shu
;
Wen, Dingzhu
;
Li, Da
;
Chen, Qimei
;
Zhu, Guangxu
Adobe PDF(23894Kb)
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浏览/下载:357/7
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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
End-to-End Hybrid Beamforming for mmWave Integrated Access and Backhaul with Active Sensing Strategy
会议论文
2024 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), Dubai, United Arab Emirates, 21-24 April 2024
作者:
Sisi Lin
;
Xiaoxia Xu
;
Qimei Chen
;
Zihan Zhang
;
Dingzhu Wen
Adobe PDF(599Kb)
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浏览/下载:236/1
|
提交时间:2024/07/08
Beamforming
Channel estimation
Complex networks
Deep learning
Fading channels
Finite difference method
Millimeter waves
MIMO systems
Deep learning
End to end
Hybrid beamforming
Integrated access
Integrated access and backhaul
Mm waves
Multiple inputs
Multiple outputs
Multiple-input multiple-output
Transformer
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:516/4
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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
Joint Device Scheduling and Resource Allocation for ISCC-Based Multi-View-Multi-Task Inference
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2024, 卷号: PP, 期号: 99
作者:
Diao Wang
;
Dingzhu Wen
;
Yinghui He
;
Qimei Chen
;
Guangxu Zhu
Adobe PDF(5134Kb)
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浏览/下载:174/4
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提交时间:2024/09/18
Convex optimization
Integer programming
Resource allocation
Scheduling algorithms
Sensory analysis
Sensory perception
Device scheduling
Edge AI inference
Integrated sensing
Integrated sensing-communication-computation
Multi tasks
Multi-task optimization
Multi-views
Optimisations
Resources allocation
Scheduling/allocation
Collaborative Edge AI Inference over Cloud-RAN
期刊论文
IEEE TRANSACTIONS ON COMMUNICATIONS, 2024, 卷号: PP, 期号: 99, 页码: 1-1
作者:
Pengfei Zhang
;
Dingzhu Wen
;
Guangxu Zhu
;
Qimei Chen
;
Kaifeng Han
Adobe PDF(1481Kb)
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收藏
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浏览/下载:411/42
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提交时间:2024/04/22
Cloud radio access network
edge AI
edge inference
over-the-air computation
OverGNN Assisted Power Allocation for Heterogeneous Ultra-Dense Networks
会议论文
2023 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP), Hangzhou, China, 2-4 Nov. 2023
作者:
Sisi Lin
;
Mengyuan Lee
;
Qimei Chen
;
Dingzhu Wen
;
Wen Du
Adobe PDF(1800Kb)
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收藏
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浏览/下载:223/0
|
提交时间:2024/03/22
Heterogeneous network
ultra-dense network
power allocation
GNN
high-order message passing
Enhanced Hybrid Hierarchical Federated Edge Learning Over Heterogeneous Networks
期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 卷号: PP, 期号: 99, 页码: 1-15
作者:
Qimei Chen
;
Zehua You
;
Dingzhu Wen
;
Zhaoyang Zhang
Adobe PDF(5185Kb)
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收藏
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浏览/下载:243/1
|
提交时间:2023/07/14
Computer architecture
Edge computing
Hierarchical systems
Information management
Learning systems
Markov processes
Network architecture
Network layers
Resource allocation
Cloud layers
Computational modelling
Device layers
Device resources
Device selection
Edge computing
Federated edge learning
Local model
Resource management
Semi-asynchronoi
Computer architecture
Edge computing
Hierarchical systems
Information management
Learning systems
Markov processes
Network architecture
Network layers
Resource allocation
Cloud layers
Computational modelling
Device layers
Device resources
Device selection
Edge computing
Federated edge learning
Local model
Resource management
Semi-asynchronoi
Joint Bandwidth Allocation, Computation Control, and Device Scheduling for Federated Learning with Energy Harvesting Devices
会议论文
CONFERENCE RECORD - ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, Virtual, Online, United states, October 31, 2022 - November 2, 2022
作者:
Li Zeng
;
Dingzhu Wen
;
Guangxu Zhu
;
Changsheng You
;
Qimei Chen
Adobe PDF(589Kb)
|
收藏
|
浏览/下载:206/0
|
提交时间:2023/04/28
Bandwidth
Energy efficiency
Internet of things
Iterative methods
Computation control
Data distributed
Data utilities
Device scheduling
Device selection
Energy harvesting device
Federated learning
Massive data
Radio resources
Resources allocation
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