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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) \| 收藏 \| 浏览/下载：35/3 \| 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：9/0 \| 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
	SDDRL-SR: A High-Reliability Satellite Routing Algorithm Based on Deep Reinforcement Learning 会议论文 2024 IEEE 99TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2024-SPRING), Singapore, Singapore, 24-27 June 2024 作者: Zhao-Long Ding; Hui-Jie Liu; Feng Tian; Zi-Jian Yang Adobe PDF(559Kb) \| 收藏 \| 浏览/下载：151/1 \| 提交时间：2024/09/30 Bayesian networks Deep learning Reinforcement learning Routing algorithms Satellite communication systems Satellite links Dijkstra Distributed routing End to end latencies Low earth orbit satellite network Low earth orbit satellites Reinforcement learnings Routing methods Routings Satellite network Two-hop state-aware
	GNN-Aided Distributed GAN with Partially Observable Social Graph 会议论文 IEEE WCNC 2024, Dubai, United Arab Emirates, 21-24 April 2024 作者: Chen, Ming; Wang, Shangshang; Zhang, Tianyi; Shao, Ziyu; Yang, Yang Adobe PDF(12034Kb) \| 收藏 \| 浏览/下载：339/2 \| 提交时间：2024/03/14 Budget control Deep learning E-learning Energy utilization Graph neural networks Ubiquitous computing Distributed data Distributed implementation Edge computing Edge-based End-devices Energy budgets Graph neural networks Limited energies Social graphs Social ties
	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) \| 收藏 \| 浏览/下载：519/4 \| 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
	An Empirical Study on Google Research Football Multi-agent Scenarios 期刊论文 MACHINE INTELLIGENCE RESEARCH, 2024, 卷号: 21, 期号: 3, 页码: 549-570 作者: Song, Yan; Jiang, He; Tian, Zheng; Zhang, Haifeng; Zhang, Yingping Adobe PDF(4254Kb) \| 收藏 \| 浏览/下载：328/53 \| 提交时间：2024/02/23 Fertilizers HTTP Learning algorithms Learning systems Multi agent systems Reinforcement learning Distributed reinforcement learning system Empirical studies Google+ Multi agent Multi-agent reinforcement learning Population-based training Reinforcement learning systems Reward shaping Training framework
	Over-the-Air Federated Graph Learning 期刊论文 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 卷号: PP, 期号: 99 作者: Zixin Wang; Yong Zhou; Yuanming Shi Adobe PDF(27324Kb) \| 收藏 \| 浏览/下载：348/1 \| 提交时间：2024/10/14 Graph neural networks Reinforcement learning Data distributed Federated graph learning Graph data Graph neural networks Message-passing Messaging passing Model complexes Over the airs Over-the-air computation Reinforcement learnings
	Privacy-Preserving Coded Schemes for Multi-Server Federated Learning with Straggling Links 期刊论文 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2024, 卷号: PP, 期号: 99, 页码: 1222-1236 作者: Kai Liang; Songze Li; Ming Ding; Feng Tian; Youlong Wu Adobe PDF(3029Kb) \| 收藏 \| 浏览/下载：54/2 \| 提交时间：2025/01/06 Adversarial machine learning Differential privacy Coding computing Communication load Distributed learning Global models Lagrange Local model Multiservers Secure aggregations Straggling link Uplink communication
	UNDERSTANDING CONVERGENCE AND GENERALIZATION IN FEDERATED LEARNING THROUGH FEATURE LEARNING THEORY 会议论文 12TH INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS, ICLR 2024, Hybrid, Vienna, Austria, May 7, 2024 - May 11, 2024 作者: Huang, Wei; Shi, Ye; Cai, Zhongyi; Suzuki, Taiji 收藏 \| 浏览/下载：247/0 \| 提交时间：2024/08/23 Convolutional neural networks Machine learning Multilayer neural networks Network layers Privacy-preserving techniques Convergence properties Distributed learning Empirical research Feature learning Generalisation Learning Theory Local training Multiple clients Privacy preserving Test errors
	On Exploiting Network Topology for Hierarchical Coded Multi-task Learning 期刊论文 IEEE TRANSACTIONS ON COMMUNICATIONS, 2024, 卷号: PP, 期号: 99, 页码: 1-1 作者: Haoyang Hu; Songze Li; Minquan Cheng; Shuai Ma; Yuanming Shi Adobe PDF(3872Kb) \| 收藏 \| 浏览/下载：305/1 \| 提交时间：2024/04/01 Multi-task learning coding techniques distributed learning hierarchical systems communication load

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