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Federated Low-Rank Adaptation for Large Language Model Fine-Tuning Over Wireless Networks
会议论文
GLOBECOM 2024 - 2024 IEEE GLOBAL COMMUNICATIONS CONFERENCE, Cape Town, South Africa, 8-12 Dec. 2024
作者:
Zixin Wang
;
Yong Zhou
;
Yuanming Shi
;
Khaled. B. Letaief
收藏
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浏览/下载:45/0
|
提交时间:2025/03/18
Edge computing
Frequency allocation
Integer programming
Learning to rank
Mixed-integer linear programming
Problem oriented languages
Resource allocation
Critical challenges
Device scheduling
Distributed data
Fine tuning
Fine-tuning methods
Global models
Language model
Learning performance
On-line algorithms
Radio resources
Communication-efficient Federated Learning with Privacy Enhancing via Probabilistic Scheduling
会议论文
2024 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC), Hangzhou, China, 7-9 Aug. 2024
作者:
Ziao Zhou
;
Shaoming Huang
;
Youlong Wu
;
Dingzhu Wen
;
Ting Wang
Adobe PDF(604Kb)
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收藏
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浏览/下载:313/1
|
提交时间:2024/09/30
Differential privacy
Device access
Differential privacies
Gaussians
Intelligence services
Key technologies
Performance
Privacy concerns
Probabilistic scheduling
Training time
Transmission costs
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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收藏
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浏览/下载:180/4
|
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
Federated Learning via Unmanned Aerial Vehicle
期刊论文
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2023, 卷号: PP, 期号: 99, 页码: 2884-2900
作者:
Min Fu
;
Yuanming Shi
;
Yong Zhou
Adobe PDF(16995Kb)
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收藏
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浏览/下载:200/0
|
提交时间:2023/10/07
Federated leaning
UAV communications
completion time minimization
device scheduling
UAV trajectory design
Communication-Efficient Device Scheduling via Over-the-Air Computation for Federated Learning
会议论文
2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE, GLOBECOM 2022 - PROCEEDINGS, Virtual, Online, Brazil, December 4, 2022 - December 8, 2022
作者:
Bingqing Jiang
;
Jun Du
;
Chunxiao Jiang
;
Yuanming Shi
;
Zhu Han
Adobe PDF(664Kb)
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收藏
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浏览/下载:173/0
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提交时间:2023/03/10
onstrained optimization
Energy resources
Energy utilization
Internet of things
Learning systems
Power control
Centralised
Channel conditions
Collaborative modeling
Device scheduling
Distributed solutions
Model training
Over the airs
Performance
Privacy disclosures
Training framework
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
Adobe PDF(589Kb)
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收藏
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浏览/下载:218/0
|
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
Wireless Federated Learning over MIMO Networks: Joint Device Scheduling and Beamforming Design
会议论文
2022 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS, ICC WORKSHOPS 2022, Seoul, Korea, Republic of, May 16, 2022 - May 20, 2022
作者:
Huang, Shaoming
;
Zhang, Pengfei
;
Mao, Yijie
;
Lian, Lixiang
;
Wu, Youlong
Adobe PDF(435Kb)
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收藏
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浏览/下载:578/128
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提交时间:2022/08/08
MIMO systems
Scheduling
Decentralised
Device scheduling
Distributed Artificial Intelligence
Enabling technologies
Federated learning system
Intelligence services
Learning convergence
Multiple inputs
Multiple outputs
Output network
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