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A survey on cross-user federated recommendation

Science China(Information Sciences) 2025年第4期68卷 7-32页

作者： Enyue YANG Yudi XIONG Wei YUAN Weike PAN Qiang YANG Zhong MING College of Computer Science and Software Engineering Shenzhen University School of Electrical Engineering and Computer Science The University of Queensland WeBank AI Lab WeBank Department of Computer Science and Engineering Hong Kong University of Science and Technology College of Big Data and Internet Shenzhen Technology University Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ)

Recommender systems are effective in mitigating information overload, yet the centralized storage of user data raises significant privacy concerns. Cross-user federated recommendation(CUFR) provides a promising distributed paradigm to address these concerns by enabling privacy-preserving recommendations directly on user devices. In this survey, we review and categorize current progress in CUFR, focusing on four key aspects: privacy, security, accuracy, and efficiency. Firstly,we conduct an in-depth privacy analysis, discuss various cases of privacy leakage, and then review recent methods for privacy protection. Secondly, we analyze security concerns and review recent methods for untargeted and targeted *** untargeted attack methods, we categorize them into data poisoning attack methods and parameter poisoning attack methods. For targeted attack methods, we categorize them into user-based methods and item-based methods. Thirdly,we provide an overview of the federated variants of some representative methods, and then review the recent methods for improving accuracy from two categories: data heterogeneity and high-order information. Fourthly, we review recent methods for improving training efficiency from two categories: client sampling and model compression. Finally, we conclude this survey and explore some potential future research topics in CUFR.

关键词： cross-user federated recommendation federated recommendation federated learning recommender systems user privacy

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New Offloading Method of Computing Task Based on Gray Wolf Hunting Optimization Mechanism for the IOV

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IEEE Transactions on Network and Service Management 2025年

作者： Zhang, Jie Zhang, De-Gan Qiao, Meng Hong-Lin, E. Zhang, Ting Zhang, Ping University of Macau Key Lab of Internet of Things for Smart City Faculty of Science and Technology 999078 China Tianjin University of Technology Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin300384 China Tianjin University of Sport School of Sports Economics and Management Tianjin301617 China

Task offloading, as an effective solution, provides low latency and sufficient computing resources for mobile users in the network. However, how to reasonably offload to reduce system overhead is a challenging issue today. This article takes user terminals, edge servers, and idle vehicles with resources as the network structure, and is inspired by the highly social nature of the gray wolf pack. It proposes a new offloading method of edge computing task based on hunting optimizing mechanism of gray wolf for the internet of Vehicle (IOV). Firstly, an adaptive weight factor is proposed to balance the weight ratio of delay and energy consumption in the system cost under the constraints of delay and energy consumption. With delay and computing resources of vehicles and servers as constraints, a multi constraint minimization system cost problem is proposed. Secondly, the hunting process of the gray Wolf optimization algorithm is used to find the optimal solution of the unloading scheme, The Levy flight strategy was added to enhance the global search ability of the algorithm, and a dynamic weight strategy was introduced to improve the convergence performance of the algorithm. Finally, the improved gray Wolf optimization algorithm was used to solve the optimal unloading plan and minimum *** simulation results show that compared with traditional gray Wolf optimization algorithm offloading schemes, the proposed scheme in this paper requires lower system costs. © 2004-2012 IEEE.

关键词： Mobile edge computing

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Anomize: Better Open Vocabulary Video Anomaly Detection

arXiv

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arXiv 2025年

作者： Li, Fei Liu, Wenxuan Chen, Jingjing Zhang, Ruixu Wang, Yuran Zhong, Xian Wang, Zheng National Engineering Research Center for Multimedia Software School of Computer Science Wuhan University China Shanghai Key Lab of Intelligent Information Processing School of Computer Science Fudan University China State Key Laboratory for Multimedia Information Processing School of Computer Science Peking University China Hubei Key Laboratory of Transportation Internet of Things Wuhan University of Technology China

Open Vocabulary Video Anomaly Detection (OVVAD) seeks to detect and classify both base and novel anomalies. However, existing methods face two specific challenges related to novel anomalies. The first challenge is detection ambiguity, where the model struggles to assign accurate anomaly scores to unfamiliar anomalies. The second challenge is categorization confusion, where novel anomalies are often misclassified as visually similar base instances. To address these challenges, we explore supplementary information from multiple sources to mitigate detection ambiguity by leveraging multiple levels of visual data alongside matching textual information. Furthermore, we propose incorporating label relations to guide the encoding of new labels, thereby improving alignment between novel videos and their corresponding labels, which helps reduce categorization confusion. The resulting Anomize framework effectively tackles these issues, achieving superior performance on UCF-CRIME and XD-VIOLENCE datasets, demonstrating its effectiveness in OVVAD. Copyright © 2025, The Authors. All rights reserved.

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DRiVeR: Diagnosing runtime property violations based on dependency rules

DRiVeR: Diagnosing runtime property violations based on depe...

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International Conference on Secure software Integration and Reliability Improvement Companion

作者： Liu, Yanbin Yang, Ye Yang, Qiusong Li, Mingshu Lab for Internet Software Technology Institute of Software Chinese Academy of Sciences Beijing China Department of Equipment Command and Management Ordnance Engineering College Shijiazhuang China

ISBN: (纸本)9780769544540

To ensure the reliability of complex software systems, runtime software monitoring is widely accepted to monitor and check system execution against formal properties specification at runtime. Runtime software monitoring can detect property violations, however it can not explain why a violation has occurred. Diagnosing runtime property violations is still a challenge issue. In this paper, a novel diagnosis method based on dependency rules is constructed to diagnose runtime property violations in complex software systems. A set of rules is formally defined to isolate software fault from hardware fault, then software faults is localized by combining trace slicing and dicing. The method is implemented in the runtime software monitoring system SRMS, and experimental results demonstrate that the method can effectively isolate and locate the related faults with property violations. © 2011 IEEE.

关键词： Failure analysis

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Service adaptation using fuzzy theory in context-aware mobile computing middleware

Service adaptation using fuzzy theory in context-aware mobil...

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11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications

作者： Cao, Jiannong Xing, Na Chan, Alvin T. S. Feng, Yulin Jin, Beihong Internet and Mobile Computing Lab. Dept. of Computing Hong Kong Polytechnic University Technology Center of Software Engineering Institute of Software Chinese Academy of Sciences

ISBN: (纸本)0769523463

Context-aware mobile computing middleware is designed to automatically adapt its behavior to changing environment. To achieve this, an important issue to be addressed is how to effectively select services for adaptation according to the user's current context. Existing work does not adequately address this issue. In this paper, we propose a Fuzzy-based Service Adaptation Model (FSAM) that can be used in context-aware middleware. We formulate the service adaptation process by using fuzzy linguistic variables and membership degrees to define the context situations and the rules for adopting the policies of implementing a service. We propose three fitness functions to calculate the fitness degree for each policy based on the distance of fuzzy status between the policy and the current context situation. The decision for service adaptation is achieved by selecting the policy with the largest fitness degree. A context-aware application scenario called Campus Assistant is used to exemplify the proposed service adaptation process and demonstrate its effectiveness. © 2005 IEEE.

关键词： Fuzzy control

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Applying agent technology to software process modeling and process-centered software engineering environment 05

Applying agent technology to software process modeling and p...

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20th Annual ACM Symposium on Applied Computing

作者： Zhao, Xinpei Chan, Keith Li, Mingshu Internet Software Technology Lab Institute of Software Chinese Academy of Sciences Beijing 100080 China Department of Computing Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong

ISBN: (纸本)9781581139648

The software processes can be analyzed, designed, and maintained as if it is a piece of software. This view enables the application of software engineering technologies to software process modeling (SPM) and process-centered software engineering environment (PSEE). One reason for the relatively few applications of SPMs and PSEEs technologies in the software industry is that traditional software engineering technologies applied to the SPMs and PSEEs are not suitable for modeling software processes which are human-centered. This paper proposes an approach for applying agent technology, which has been accepted as a novel software engineering paradigm, to SPM and PSEE. In this approach, software processes are viewed as the collaboration of a group of process agents that know how to manage the software development activities and can act in the way software developers go about planning, enacting and reflecting on their work. An agent-based PSEE for enacting software processes under the proposed approach is also given in this paper. Copyright 2005 ACM.

关键词： software engineering

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Multi-user reinforcement learning based task migration in mobile edge computing

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Frontiers of Computer Science 2024年第4期18卷 161-173页

作者： Yuya CUI Degan ZHANG Jie ZHANG Ting ZHANG Lixiang CAO Lu CHEN Tianjin Key Lab of Intelligent Computing and Novel Software Technology Tianjin University of TechnologyTianjin 300384China School of Internet of Things Engineering Jiangsu Vocational College of Information TechnologyWuxi 214153China School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China School of Sports Economics and Management Tianjin University of SportTianjin 301617China

Mobile Edge Computing(MEC)is a promising *** service migration is a key technology in *** order to maintain the continuity of services in a dynamic environment,mobile users need to migrate tasks between multiple servers in real *** to the uncertainty of movement,frequent migration will increase delays and costs and non-migration will lead to service ***,it is very challenging to design an optimal migration *** this paper,we investigate the multi-user task migration problem in a dynamic environment and minimizes the average service delay while meeting the migration *** order to optimize the service delay and migration cost,we propose an adaptive weight deep deterministic policy gradient(AWDDPG)*** distributed execution and centralized training are adopted to solve the high-dimensional *** show that the proposed algorithm can greatly reduce the migration cost and service delay compared with the other related algorithms.

关键词： mobile edge computing mobility service migration deep reinforcement learning deep deterministic policy gradient

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Toward a formal approach to composite Web service construction and automation

Toward a formal approach to composite Web service constructi...

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2003 International Conference on Parallel Processing, ICPP 2003

作者： Ren, Zhihong Cao, Jiannong Chan, A.T.S. Li, Jing Internet and Mobile Computing Lab. Department of Computing Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong Technology Center of Software Engineering Institute of Software Chinese Academy of Sciences Beijing China

ISBN: (纸本)0769520170

Based on business processes, composite Web services combine the offerings of two or more Web services to achieve the desired business goals. Several candidate standards have been proposed, providing a foundation for composite Web service specifications. However, at a higher level, there is no framework that supports composite Web service construction and automation. We propose a framework that facilitates the visual design, validation and automation of composite Web services. The framework is based mainly on Web service composition graph (WSCG), the underlying formalism for composite Web services. Using graph grammar and graph transformation defined on WSCG, the static topological structure of a composite Web service can be described in an intuitive way and the automation of the constructed composite Web services is also facilitated with a sound formal semantic basis. We also outline the design and implementation of a prototype for the proposed framework. © 2003 IEEE.

关键词： software prototyping

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Learning from open-source projects: An empirical study on defect prediction

Learning from open-source projects: An empirical study on de...

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2013 ACM / IEEE International Symposium on Empirical software Engineering and Measurement, ESEM 2013

作者： He, Zhimin Peters, Fayola Menzies, Tim Yang, Ye Lab for Internet Software Technology Institute of Software Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Lane Department of CS and EE West Virginia University Morgantown United States

ISBN: (纸本)9781479911448

The fundamental issue in cross project defect prediction is selecting the most appropriate training data for creating quality defect predictors. Another concern is whether historical data of open-source projects can be used to create quality predictors for proprietary projects from a practical point-of-view. Current studies have proposed statistical approaches to finding these training data, however, thus far no apparent effort has been made to study their success on proprietary data. Also these methods apply brute force techniques which are computationally expensive. In this work we introduce a novel data selection procedure which takes into account the similarities between the distribution of the test and potential training data. Additionally we use feature subset selection to increase the similarity between the test and training sets. Our procedure provides a comparable and scalable means of solving the cross project defect prediction problem for creating quality defect predictors. To evaluate our procedure we conducted empirical studies with comparisons to the within company defect prediction and a relevancy filtering method. We found that our proposed method performs relatively better than the filtering method in terms of both computation cost and prediction performance. © 2013 IEEE.

关键词： Open source software

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On accuracy of region-based localization algorithms for wireless sensor networks

On accuracy of region-based localization algorithms for wire...

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2009 IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, MASS '09

作者： Shigeng, Zhang Jiannong, Cao Lijun, Chen DaoXu, Chen State Key Laboratory for Novel Software Technology Nanjing University Nanjing China Internet and Mobile Computing Lab Hong Kong Polytechnic University Hong Kong Hong Kong

ISBN: (纸本)9781424451135

Localization is an essential problem in Wireless Sensor Networks (WSNs). Many localization algorithms have been proposed, but few efforts have been paid on theoretical analysis on the accuracy of these algorithms. Because it is naturally to formalize range-based localization problems as deterministic parameter estimation problems, for range-based localization algorithms Cramer-Rae Lower Bound (CRLB) has been used to lower bound the variance on the estimation of sensor's positions. However, few similar works have been done for range-free localization algorithms. In this paper, based on geometry properties, we theoretically analyze bounds on accuracy for Region-Based Localization (RBL) algorithms which can be classified as one type of range-free localization algorithms. We prove that if in a RBL algorithm, the deployment region R with the area size 8 is partitioned into k regions (they can be with any shape and any area size), the localization accuracy is bounded below by -√s/k 2/3√π, no matter how the algorithm partitions R. Although the lower bound is not theoretically tight, our simulation results show that the gap between this bound and achievable accuracy is very small. We conjecture a tighter lower bound 1.003-√s/k 2/3√π when k is large enough. We also observe that in order to achieve high localization accuracy, partitioned regions should have nearly the same size. We give three examples with simulation results to show how the results can be used to set the values of the parameters, like k and the corresponding anchor/event number, in a RBL algorithm in order to achieve desired localization accuracy. ©2009 IEEE.

关键词： Wireless sensor networks

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