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	DropNaE: Alleviating irregularity for large-scale graph representation learning 期刊论文 NEURAL NETWORKS, 2025, 卷号: 183 作者: Liu, Xin; Xiong, Xunbin; Yan, Mingyu; Xue, Runzhen; Pan, Shirui Adobe PDF(1802Kb) \| 收藏 \| 浏览/下载：117/2 \| 提交时间：2024/12/27 Adversarial machine learning Federated learning Graph algorithms Knowledge graph Algorithm on graph representation learning Efficient large-scale graph representation learning Graph neural networks Graph representation Irregularity Large-scales Neural networks trainings Real-world graphs Real-world scenario
	Progressive self-supervised learning: A pre-training method for crowd counting 期刊论文 PATTERN RECOGNITION LETTERS, 2025, 卷号: 188, 页码: 148-154 作者: Gu, Yao; Zheng, Zhe; Wu, Yingna; Xie, Guangping; Ni, Na Adobe PDF(2000Kb) \| 收藏 \| 浏览/下载：105/2 \| 提交时间：2025/02/12 Adversarial machine learning Contrastive Learning Federated learning Crowd counting Dataset construction Feature representation Images classification Learning methods Learning process Modeling performance Pre-training Supervised learning approaches Training methods
	Sensing-Communication-Computation Integration for Federated Edge Learning with Controllable Model Dropout 期刊论文 IEEE INTERNET OF THINGS JOURNAL, 2025, 卷号: PP, 期号: 99 作者: Xiang Jiao; Guangxu Zhu; Wei Jiang; Li Chen; Wu Luo Adobe PDF(7280Kb) \| 收藏 \| 浏览/下载：69/2 \| 提交时间：2025/02/17 Adversarial machine learning Contrastive Learning Convex optimization Electronic data interchange Gluing Resource allocation Batch sizes Collaborative modeling Convergence analysis Dropout Federated edge learning Integrated sensing Integrated sensing-computation-communication Learning convergence Privacy preserving Resources allocation
	Federated Learning-Assisted Predictive Beamforming for Extremely Large-Scale Antenna Array Systems with Rate-Splitting Multiple Access 期刊论文 IEEE JOURNAL ON SELECTED TOPICS IN SIGNAL PROCESSING, 2025, 卷号: PP, 期号: 99 作者: Zhang, Shengyu; Mao, Yijie; Chen, Zihan; Clerckx, Bruno; Quek, Tony Q.S. Adobe PDF(5895Kb) \| 收藏 \| 浏览/下载：50/1 \| 提交时间：2025/02/12 Antenna feeders Beam forming networks Channel capacity Channel coding Channel estimation Channel state information Resource allocation Time difference of arrival Antenna array system Channel state information at the transmitters Extremely large-scale antenna array Federated learning Large-scales Multiple access Patch-mixing Rate splitting Rate-splitting multiple access Users' mobility
	LacGCL: Lightweight message masking with linear attention and cross-view interaction graph contrastive learning for recommendation 期刊论文 INFORMATION PROCESSING AND MANAGEMENT, 2025, 卷号: 62, 期号: 1 作者: Jia, Haohe; Hou, Peng; Zhou, Yong; Zhu, Hongbin; Chai, Hongfeng Adobe PDF(1539Kb) \| 收藏 \| 浏览/下载：318/2 \| 提交时间：2024/11/08 Adversarial machine learning Federated learning Computational costs Cross-view Dense matrix Graph neural networks Graph structures High-accuracy Interaction graphs Learning methods Matrix operations Recommendation accuracy
	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 Adobe PDF(3720Kb) \| 收藏 \| 浏览/下载：37/3 \| 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
	A 3D Deep Learning Architecture for Denoising Low-Dose CT Scans 会议论文 LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), 12TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL ADVANCES IN BIO AND MEDICAL SCIENCES, ICCABS 2023, Norman, OK, United states, December 11, 2023 - December 13, 2023 作者: Kasparian, Armen; Cao, Guohua; Feng, Wu-Chun 收藏 \| 浏览/下载：12/0 \| 提交时间：2025/03/28 Contrastive Learning Deep learning Federated learning Image denoising Transfer learning Computed tomography Computed tomography scan Data parallel De-noising Deep learning Distributed data Distributed data parallel Dose computed tomographies Low dose Transfer learning
	Optimizing Deep Learning for Biomedical Imaging 会议论文 LECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), 12TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL ADVANCES IN BIO AND MEDICAL SCIENCES, ICCABS 2023, Norman, OK, United states, December 11, 2023 - December 13, 2023 作者: Chaturvedi, Ayush; Cao, Guohua; Feng, Wu-Chun 收藏 \| 浏览/下载：14/0 \| 提交时间：2025/03/28 Adversarial machine learning Computerized tomography Contrastive Learning Deep learning Deep reinforcement learning Federated learning Image denoising Medical imaging Biomedical imaging Chest CT Deep learning Hardware resources High-accuracy Image de-noising Learning models Optimisations Optimization techniques Parallel hardware
	Federated Dropout: Convergence Analysis and Resource Allocation 预印本 2024 作者: Xie, Sijing; Wen, Dingzhu; Liu, Xiaonan; You, Changsheng; Ratnarajah, Tharmalingam 收藏 \| 浏览/下载：82/0 \| 提交时间：2025/02/24 Federated edge learning dropout convergence analysis communication and computational efficiency
	Automated Contrastive Learning Strategy Search for Time Series 会议论文 INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, PROCEEDINGS, Boise, ID, United states, October 21, 2024 - October 25, 2024 作者: Jing, Baoyu; Wang, Yansen; Sui, Guoxin; Hong, Jing; He, Jingrui Adobe PDF(1673Kb) \| 收藏 \| 浏览/下载：223/34 \| 提交时间：2024/12/13 Adversarial machine learning Federated learning Reinforcement learning Automated machine learning Automated machines Learn+ Learning paradigms Learning strategy Machine-learning MicroSoft Performance Prior-knowledge Times series

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