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Convergence Analysis for Federated Dropout
会议论文
GLOBECOM 2024 - 2024 IEEE GLOBAL COMMUNICATIONS CONFERENCE, Cape Town, South Africa, 8-12 Dec. 2024
作者:
Sijing Xie
;
Dingzhu Wen
;
Xiaonan Liu
;
Changsheng You
;
Tharmalingam Ratnarajah
收藏
|
浏览/下载:41/0
|
提交时间:2025/03/18
Computational efficiency
Contrastive Learning
Communication efficiency
Computation efficiency
Convergence analysis
Dropout
Federated edge learning
Gradient vectors
Loss functions
Network edges
Taylor expansion method
Unbiased estimation
Pedestrian Pose Recognition Based on Frequency-Modulated Continuous-Wave Radar with Meta-Learning
期刊论文
SENSORS, 2024, 卷号: 24, 期号: 9
作者:
Shi, Jiajia
;
Zhang, Qiang
;
Shi, Quan
;
Chu, Liu
;
Braun, Robin
Adobe PDF(8690Kb)
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收藏
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浏览/下载:381/60
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提交时间:2024/05/24
Classification (of information)
Continuous wave radar
Frequency modulation
Gesture recognition
Image classification
Angular margin loss function
Attention mechanisms
Channel attention mechanism
MAML
Margin loss functions
Metalearning
Micro-Doppler
Millimeter-wave radar
Millimetre-wave radar
Pose recognition
Fast metric multi-view hashing for multimedia retrieval
期刊论文
INFORMATION FUSION, 2024, 卷号: 103
作者:
Zhu, Jian
;
Hu, Pengbo
;
Li, Bingqian
;
Zhou, Yi
Adobe PDF(850Kb)
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收藏
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浏览/下载:316/0
|
提交时间:2024/01/19
Benchmarking
Deep metric learning
Heterogeneous data
Loss functions
Metric information
Metric learning
Multi-modal
Multi-modal hash
Multi-view hash
Multi-views
Multimedia Retrieval
Guidance with Spherical Gaussian Constraint for Conditional Diffusion
会议论文
PROCEEDINGS OF MACHINE LEARNING RESEARCH, Vienna, Austria, July 21, 2024 - July 27, 2024
作者:
Yang, Lingxiao
;
Ding, Shutong
;
Cai, Yifan
;
Yu, Jingyi
;
Wang, Jingya
Adobe PDF(9403Kb)
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收藏
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浏览/下载:256/8
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提交时间:2024/10/11
Constraint theory
Digital differential analyzers
Sampling
Concentration phenomena
Diffusion model
Estimation errors
Gaussians
High-dimensional
Loss functions
Low bound
Sample quality
Sampling process
Step size
Improving metric-based few-shot learning with dynamically scaled softmax loss
期刊论文
IMAGE AND VISION COMPUTING, 2023, 卷号: 140
作者:
Zhang, Yu
;
Zuo, Xin
;
Zheng, Xuxu
;
Gao, Xiaoyong
;
Wang, Bo
Adobe PDF(6671Kb)
|
收藏
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浏览/下载:272/0
|
提交时间:2023/11/24
Probability distributions
Current loss
Few-shot learning
Learning frameworks
Loss functions
Metric learning
Metric-based learning framework
Nearest neighbor classification
Scalings
Softmax loss improvement
Visual classification
A Generative Network with Dual-Domain Discriminators for Low-Dose Stationary Sources CT Imaging
会议论文
ACM INTERNATIONAL CONFERENCE PROCEEDING SERIES, Kyoto, Japan, November 9, 2023 - November 12, 2023
作者:
Bai, Xiao
;
Cheng, Ying
;
Chen, Linjie
;
Yang, Shuo
;
Wang, Huamin
Adobe PDF(478Kb)
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收藏
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浏览/下载:159/12
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提交时间:2024/06/07
Clinical research
Computerized tomography
Data acquisition
Deep learning
Discriminators
Medical imaging
Deep learning
Dose computed tomographies
Dual domain
Images reconstruction
Loss functions
Low dose
Low-dose computed tomography
Stationary sources
Tomography imaging
Tomography system
QFA2SR: Query-Free Adversarial Transfer Attacks to Speaker Recognition Systems
会议论文
32ND USENIX SECURITY SYMPOSIUM (USENIX SECURITY 2023), Anaheim, CA, United states, August 9, 2023 - August 11, 2023
作者:
Chen, Guangke
;
Zhang, Yedi
;
Zhao, Zhe
;
Song, Fu
Adobe PDF(1028Kb)
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收藏
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浏览/下载:534/0
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提交时间:2023/09/28
Speech recognition
Testbeds
Windows operating system
'current
Black boxes
Different attacks
Loss functions
Novel methods
Over the airs
Speaker recognition system
Target speaker
Voice-controlled
White box
Feature-Embedding Triplet Networks with a Separately Constrained Loss Function
会议论文
PROCEEDINGS - IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, Monterey, CA, United states, May 21, 2023 - May 25, 2023
作者:
Wang, Ziheng
;
Niknia, Farzad
;
Liu, Shanshan
;
Jiang, Honglan
;
Liu, Siting
Adobe PDF(3872Kb)
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收藏
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浏览/下载:333/0
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提交时间:2024/01/19
Machine learning
Network embeddings
Feature embedding
Intra class
Loss functions
Machine-learning
Measuring applications
Multilayers perceptrons
Similarity measuring
Subchannels
Symmetrics
Triplet network
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)
|
收藏
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浏览/下载:909/231
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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
Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond.
会议论文
NEURIPS 2022, New Orleans, LA, United states, November 28, 2022 - December 9, 2022
作者:
Guo Hengquan
;
Liu X(刘鑫)
;
Wei Honghao
;
Ying Lei
Adobe PDF(2556Kb)
|
收藏
|
浏览/下载:416/5
|
提交时间:2023/03/25
Constraint violation
Hard constraints
Loss functions
Online convex optimizations
Online optimization algorithms
Soft constraint
Time varying
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