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检索条件"主题词=distributed databases"
10460 条 记 录,以下是161-170 订阅
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distributed Online Learning Over Multitask Networks With Rank-One Model
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IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS 2025年 11卷 314-328页
作者: Chen, Yitong Jin, Danqi Chen, Jie Richard, Cedric Zhang, Wen Huang, Gongping Chen, Jingdong Northwestern Polytech Univ Ctr Intelligent Acoust & Immers Commun Sch Marine Sci & Technol Xian 710072 Peoples R China Wuhan Univ Sch Elect Informat Wuhan 430072 Peoples R China Univ Cote Azur OCA CNRS F-06000 Nice France
Modeling multitask relations in distributed networks has garnered considerable interest in recent years. In this paper, we present a novel rank-one model, where all the optimal vectors to be estimated are scaled versi... 详细信息
来源: 评论
Interventional Causal Structure Discovery Over Graphical Models With Convergence and Optimality Guarantees
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IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING 2025年 第1期12卷 156-172页
作者: Qiu, Chengbo Yang, Kai Tongji Univ Dept Comp Sci & Technol Shanghai 201800 Peoples R China
Learning causal structure from sampled data is a fundamental problem with applications in various fields, including healthcare, machine learning and artificial intelligence. Traditional methods predominantly rely on o... 详细信息
来源: 评论
DP-FedCMRS: Privacy-Preserving Federated Learning Algorithm to Solve Heterogeneous Data
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IEEE ACCESS 2025年 13卷 41984-41993页
作者: Zhang, Yang Long, Shigong Liu, Guangyuan Zhang, Junming Guizhou Univ State Key Lab Publ Big Data Guiyang 550025 Peoples R China Guizhou Univ Sch Comp Sci & Technol Guiyang 550025 Peoples R China Guizhou Polytech Construct Guiyang 551400 Peoples R China
In federated learning, non-independently and non-identically distributed heterogeneous data on the clients can limit both the convergence speed and model utility of federated learning, and gradients can be used to inf... 详细信息
来源: 评论
Contrastive and Non-Contrastive Strategies for Federated Self-Supervised Representation Learning and Deep Clustering
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IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING 2024年 第6期18卷 1070-1084页
作者: Miao, Runxuan Koyuncu, Erdem Univ Illinois Dept Elect & Comp Engn Chicago IL 60607 USA
We investigate federated self-supervised representation learning (FedSSRL) and federated clustering (FedCl), aiming to derive low-dimensional representations of datasets distributed across multiple clients, potentiall... 详细信息
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Evaluating Security and Robustness for Split Federated Learning Against Poisoning Attacks
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IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 2025年 20卷 175-190页
作者: Wu, Xiaodong Yuan, Henry Li, Xiangman Ni, Jianbing Lu, Rongxing Queens Univ Ingenu Labs Res Inst Dept Elect & Comp Engn Kingston ON K7L 3N6 Canada Queens Univ Dept Elect & Comp Engn Kingston ON K7L 3N6 Canada Univ New Brunswick Fac Comp Sci Fredericton NB E3B 5A3 Canada
Split federated learning (SFL) is a recently proposed distributed collaborative learning architecture that integrates federated learning (FL) with split learning (SL), offering an ingenious solution for safeguarding p... 详细信息
来源: 评论
HFL-TranWGAN: Knowledge-Driven Cross-Domain Collaborative Anomaly Detection for End-to-End Network Slicing
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IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT 2025年 第1期22卷 760-776页
作者: Wu, Yanfei Liang, Liang Jia, Yunjian Wen, Wanli Chongqing Univ Sch Microelect & Commun Engn Chongqing 400044 Peoples R China
Network slicing is a key technology that can provide service assurance for the heterogeneous application scenarios emerging in the next-generation networks. However, the heterogeneity and complexity of virtualized end... 详细信息
来源: 评论
Enhancing Federated Learning Robustness Using Locally Benignity-Assessable Bayesian Dropout
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IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 2025年 20卷 2464-2479页
作者: Xue, Jingjing Sun, Sheng Liu, Min Li, Qi Xu, Ke Chinese Acad Sci Inst Comp Technol Beijing 100045 Peoples R China Zhongguancun Lab Beijing 100086 Peoples R China Tsinghua Univ Inst Network Sci & Cyberspace Beijing Peoples R China Tsinghua Univ Beijing Natl Res Ctr Informat Sci & Technol BNRist Beijing Peoples R China Tsinghua Univ Dept Comp Sci & Technol Beijing 100190 Peoples R China
Federated Learning (FL) has emerged as a privacy-preserving training paradigm, which enables distributed devices to jointly learn a shared model without raw data sharing. However, the inaccessible client-side data and... 详细信息
来源: 评论
On Collaboration in distributed Parameter Estimation With Resource Constraints
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IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT 2025年 第1期22卷 151-167页
作者: Chen, Yu-Zhen Janice Menasche, Daniel S. Towsley, Don Univ Massachusetts Amherst Manning Coll Informat & Comp Sci Amherst MA 01002 USA Univ Fed Rio de Janeiro Inst Comp BR-21941901 Rio de Janeiro Brazil
Effective resource allocation in sensor networks, IoT systems, and distributed computing is essential for applications such as environmental monitoring, surveillance, and smart infrastructure. Sensors or agents must o... 详细信息
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SLAPP: Poisoning Prevention in Federated Learning and Differential Privacy via Stateful Proofs of Execution
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IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 2025年 20卷 4167-4182页
作者: Rattanavipanon, Norrathep Nunes, Ivan De Oliveira Prince Songkla Univ Coll Comp Phuket 83120 Thailand Univ Zurich Dept Informat SPINS Grp CH-8006 Zurich Switzerland
The rise of IoT-driven distributed data analytics, coupled with increasing privacy concerns, has led to a demand for effective privacy-preserving and federated data collection/model training mechanisms. In response, a... 详细信息
来源: 评论
FedCruise: Collaborative Cruise Guidance With Federated Policy Distillation in Multiple Ride-Hailing Platforms
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IEEE INTERNET OF THINGS JOURNAL 2025年 第7期12卷 8873-8884页
作者: Sun, Guolin Maale, Gerald Tietaa Zhang, Heng Ayepah-Mensah, Daniel Jiang, Jun Univ Elect Sci & Technol China Sch Comp Sci & Engn Chengdu 611731 Peoples R China Natl Key Lab Intelligent Collaborat Comp Chengdu 611730 Peoples R China Naval Univ Engn Dept Operat & Planning Wuhan 430033 Peoples R China
Recent technological advancements have led to the emergence of intelligent cruise guidance systems tailored for ride-hailing platforms (RHPs), such as Uber and Didi Chuxing, offering potential solutions to issues like... 详细信息
来源: 评论