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Efficient and Privacy-Enhanced Federated Learning Based on Parameter Degradation IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-05-10 Wenling Li, Ping Yu, Yanan Cheng, Jianen Yan, Zhaoxin Zhang
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An Efficient Algorithm for Microservice Placement in Cloud-Edge Collaborative Computing Environment IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-05-10 Xiang He, Hanchuan Xu, Xiaofei Xu, Yin Chen, Zhongjie Wang
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Loss Aware Federated Learning for Service Migration in Multimodal E-Health Services IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-05-10 Himanshu Singh, Ajay Pratap, Ram Narayan Yadav, Debasis Das
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PPNNI: Privacy-Preserving Neural Network Inference against Adversarial Example Attack IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-05-10 Guanghui He, Yanli Ren, Gang He, Guorui Feng, Xinpeng Zhang
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Communication-Efficient Federated Learning with Adaptive Aggregation for Heterogeneous Client-Edge-Cloud Network IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-05-10 Long Luo, Chi Zhang, Hongfang Yu, Gang Sun, Shouxi Luo, Schahram Dustdar
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Long-Term Proof-of-Contribution: an Incentivized Consensus Algorithm for Blockchain-enabled Federated Learning IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-05-10 Yao Zhao, Youyang Qu, Yong Xiang, Feifei Chen, Longxiang Gao
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MoESys: A Distributed and Efficient Mixture-of-Experts Training and Inference System for Internet Services IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-05-10 Dianhai Yu, Liang Shen, Hongxiang Hao, Weibao Gong, Huachao Wu, Jiang Bian, Lirong Dai, Haoyi Xiong
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Cross-Edge Orchestration of Serverless Functions with Probabilistic Caching IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-05-10 Chen Chen, Manuel Herrera, Ge Zheng, Liqiao Xia, Zhengyang Ling, Jiangtao Wang
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Multi-objective evolutionary search for optimal Robotic Process Automation architectures IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-05-02 Geeta Mahala, Renuka Sindhgatta, Hoa Khanh Dam, Aditya Ghose
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2D-SAZD: A Novel 2D Coded Distributed Computing Framework for Matrix-Matrix Multiplication IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-05-02 Mingjun Dai, Zelong Zhang, Ziying Zheng, Zhonghao Zhang, Xiaohui Lin, Hui Wang
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Efficient and Privacy-preserving Outsourcing of Gradient Boosting Decision Tree Inference IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-05-01 Shuai Yuan, Hongwei Li, Xinyuan Qian, Meng Hao, Yixiao Zhai, Guowen Xu
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Resource-aware Cyber Deception for Microservice-based Applications IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-05-01 Marco Zambianco, Claudio Facchinetti, Roberto Doriguzzi-Corin, Domenico Siracusa
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AISM: An Adaptable Image Steganography Model with User Customization IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-05-01 Bobiao Guo, Ping Ping, Siqi Zhou, Olano Teah Bloh, Feng Xu, Xiaofeng Zhou
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Multi-Tree Genetic Programming Hyper-Heuristic for Dynamic Flexible Workflow Scheduling in Multi-Clouds IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-04-29 Zaixing Sun, Yi Mei, Fangfang Zhang, Hejiao Huang, Chonglin Gu, Mengjie Zhang
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SiaDFP: A Disk Failure Prediction Framework Based on Siamese Neural Network in Large-Scale Data Center IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-04-29 Xiaoyu Fang, Wenbai Guan, Jiawen Li, Chenhan Cao, Bin Xia
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ELXGB: An Efficient and Privacy-Preserving XGBoost for Vertical Federated Learning IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-04-29 Wei Xu, Hui Zhu, Yandong Zheng, Fengwei Wang, Jiaqi Zhao, Zhe Liu, Hui Li
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Latency-Aware Container Scheduling in Edge Cluster Upgrades: A Deep Reinforcement Learning Approach IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-04-29 Hanshuai Cui, Zhiqing Tang, Jiong Lou, Weijia Jia, Wei Zhao
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Trusted Sharing of Computing Power Resources: Benefit-Driven Heterogeneous Network Service Provision Mechanism IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-04-29 Meiling Dai, Shaoyong Guo, Song Guo, Sujie Shao, Xuesong Qiu
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Ethereum Transaction Replay Platform Based on State-wise Account Input Data IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-04-17 Yuan Huang, Rong Wang, Xiangping Chen, Changlin Yang, Zibin Zheng
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A Monitoring-Free Bitcoin Payment Channel Scheme With Support for Real-Time Settlement IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-04-17 Yankai Xie, Ruian Li, Yan Huang, Chi Zhang, Lingbo Wei, Yani Sun
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A Deep Recurrent-Reinforcement Learning Method for Intelligent AutoScaling of Serverless Functions IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-04-12 Siddharth Agarwal, Maria A. Rodriguez, Rajkumar Buyya
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Multi-Attribute Auction-Based Grouped Federated Learning IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-04-12 Renhao Lu, Hongwei Yang, Yan Wang, Hui He, Qiong Li, Xiaoxiong Zhong, Weizhe Zhang
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RCME: A Reputation Incentive Committee Consensus-Based for Matchmaking Encryption in IoT Healthcare IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-04-11 Ningbin Yang, Chunming Tang, Zehui Xiong, Debiao He
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Blockchained Dual-Asynchronous Federated Learning Services for Digital Twin Empowered Edge-Cloud Continuum IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-04-08 Youyang Qu, Shui Yu, Longxiang Gao, Keshav Sood, Yong Xiang
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CouldPin-Fast: Effient and Effective Root Cause Localization for Shared Bandwidth Package Traffic Anomalies in Public Cloud Networks IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-04-08 Shize Zhang, Yunfeng Zhao, Jianyuan Lu, Shuai Yang, Biao Lyu, Shunmin Zhu, Enhuan Dong, Zhiliang Wang, Jiahai Yang
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C-KHCS: Multi-Objective Workflow Scheduling using Chaotic Krill Herd Optimization and Improved Cuckoo Search in Fog Computing IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-04-01 Shahin Nazemi, Reihaneh Khorsand
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Data-Submission Control of Web Service-Based Multi-Agent System IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-04-01 Chen Hou
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Enabling Privacy-Preserving K-hop Reachability Query over Encrypted Graphs IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-28 Yunjiao Song, Xinrui Ge, Jia Yu, Rong Hao, Ming Yang
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Privacy Preserving Based on Seamless Authentication with Provable Key Verification using mIoMT for B5G-enabled Healthcare Systems IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-28 B D Deebak, Seong Oun Hwang
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Blockchain-based Efficient and Trustworthy AIGC Services in Metaverse IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-28 Yijing Lin, Zhipeng Gao, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Zibin Zheng
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Encoder-Decoder Based Route Generation Model for Flexible Travel Recommendation IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-26 Jiale Zhang, Mingqian Ma, Xiaofeng Gao, Guihai Chen
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Leader Federated Learning Optimization Using Deep Reinforcement Learning for Distributed Satellite Edge Intelligence IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-26 Hangyu Zhang, Hongbo Zhao, Rongke Liu, Xiangqiang Gao, Shenzhan Xu
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Enhancing Disentanglement of Popularity Bias for Recommendation with Triplet Contrastive Learning IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-25 Jie Liao, Wei Zhou, Fengji Luo, Junhao Wen
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A Joint Learning Recommendation Model for E-Commerce Platforms Integrating Long-Term and Short-Term Interests IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-21 Yunpeng Xiao, Wanjing Zhao, Yuyang Huang, Tun Li, Qian Li
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Publicly Verifiable Secure Multi-Party Computation Framework Based on Bulletin Board IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-21 Xiaotong Li, Hao Wang, Zhi Li, Lei Wu, Xiaochao Wei, Ye Su, Rongxing Lu
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Efficient and Privacy-Preserving Federated Learning against Poisoning Adversaries IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-20 Jiaqi Zhao, Hui Zhu, Fengwei Wang, Yandong Zheng, Rongxing Lu, Hui Li
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SCOF: Security-Aware Computation Offloading Using Federated Reinforcement Learning in Industrial Internet of Things with Edge Computing IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-19 Kai Peng, Peiyun Xiao, Shangguang Wang, Victor C.M. Leung
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RT3C: Real-Time Crowd Counting in Multi-Scene Video Streams via Cloud-Edge-Device Collaboration IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-18 Rui Wang, Yixue Hao, Yiming Miao, Long Hu, Min Chen
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EPSet: Efficient and Privacy-Preserving Set Similarity Range Query Over Encrypted Data IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-18 Yandong Zheng, Rongxing Lu, Yunguo Guan, Songnian Zhang, Jun Shao, Fengwei Wang, Hui Zhu
Set similarity query is a fundamental query type in various applications, such as clinical diagnosis, online shopping, and mobile crowdsensing. Meanwhile, as the prevalence of outsourced query services, privacy-preserving set similarity query has been considerablely studied. However, to the best of our knowledge, most previously reported solutions suffer from applicability, efficiency, or security
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Optimizing Resource Allocation for Wireless VR Services IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-18 Chih-Hang Wang, Yishuo Shi, De-Nian Yang, Chih-Yen Chen, Wanjiun Liao
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PBScaler: A Bottleneck-Aware Autoscaling Framework for Microservice-Based Applications IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-18 Shuaiyu Xie, Jian Wang, Bing Li, Zekun Zhang, Duantengchuan Li, Patrick C. K. Hung
Autoscaling is critical for ensuring optimal performance and resource utilization in cloud applications with dynamic workloads. However, traditional autoscaling technologies are typically no longer applicable in microservice-based applications due to the diverse workload patterns and complex interactions between microservices. Specifically, the propagation of performance anomalies through interactions
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PrivRo: A Privacy-Preserving Crowdsourcing Service with Robust Quality Awareness IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-18 Rui Lian, Yifeng Zheng, Cong Wang
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Incentive Mechanism for Uncertain Tasks under Differential Privacy IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-18 Xikun Jiang, Chenhao Ying, Lei Li, Boris Düdder, Haiqin Wu, Haiming Jin, Yuan Luo
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SmartChain: A Dynamic and Self-Adaptive Sharding Framework for IoT Blockchain IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-18 Ting Cai, Wuhui Chen, Jianting Zhang, Zibin Zheng
Sharding technologies allow the Internet of Things (IoT) to deploy blockchains in large-scale applications with good scalability. However, conventional sharding strategies in IoT blockchain are highly restricted because most IoT devices are dynamic and heterogeneous. They fail to partition and reconfigure shards with a fine-balanced tradeoff between throughput and security. Therefore, we propose SmartChain
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Design of Anti-Plagiarism Mechanisms in Decentralized Federated Learning IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-18 Yumeng Shao, Jun Li, Ming Ding, Kang Wei, Chuan Ma, Long Shi, Wen Chen, Shi Jin
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Achieving Privacy-preserving Trajectory Query in Geospatial Information Systems with Outsourced Cloud IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-13 Qinglei Kong, Songnian Zhang, Rongxing Lu, Haiyong Bao, Bo Chen, Shiwu Xu
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FRLN: Federated Residual Ladder Network for Data-Protected QoS Prediction IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-13 Guobing Zou, Wenzhuo Yu, Shengxiang Hu, Yanglan Gan, Bofeng Zhang, Yixin Chen
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Boosting Dynamic Decentralized Federated Learning by Diversifying Model Sources IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-13 Dongyuan Su, Yipeng Zhou, Laizhong Cui, Song Guo
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Incentive-Aware Resource Allocation for Multiple Model Owners in Federated Learning IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-12 Feng-Yang Chen, Li-Hsing Yen
A user (model owner) in federated learning builds a learning model by aggregating local learning models trained by independent workers with their private datasets. A fundamental issue of federating learning is allocating resource from workers to the training task. As the allocation causes extra costs and overheads, workers are inherently reluctant to participate. Therefore, it is crucial to design
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Attribute-hiding fuzzy encryption for privacy-preserving data evaluation IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-12 Zhenhua Chen, Luqi Huang, Guomin Yang, Willy Susilo, Xingbing Fu, Xingxing Jia
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DPFLA: Defending Private Federated Learning Against Poisoning Attacks IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-12 Xia Feng, Wenhao Cheng, Chunjie Cao, Liangmin Wang, Victor S. Sheng
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Fission Spectral Clustering Strategy for UAV Swarm Networks IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-12 Gepeng Zhu, Haipeng Yao, Tianle Mai, Zunliang Wang, Di Wu, Song Guo
The flying ad hoc networks (FANETs) have attracted a large amount of attention from both academia and industry. Benefiting from the flexibility, the FANETs have been widely deployed in various scenarios, ranging from agricultural production to emergency rescue. However, in FANETs, the mobility of unmanned aerial vehicles (UAVs) has led to critical challenges for the stability of communications. Especially
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E2MS: An Efficient and Economical Microservice Migration Strategy for Smart Manufacturing IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-12 Yuxiang Liu, Bo Yang, Xiaoyuan Ren, Qi Liu, Sicheng Liu, Xinping Guan
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Dynamic Task Offloading and Resource Allocation for NOMA-aided Mobile Edge Computing: An Energy Efficient Design IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-12 Ying Chen, Jiajie Xu, Yuan Wu, Jie Gao, Lian Zhao
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POP-FL: Towards Efficient Federated Learning on Edge Using Parallel Over-Parameterization IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-12 Xingjian Lu, Haikun Zheng, Wenyan Liu, Yuhui Jiang, Hongyue Wu
Federated Learning (FL) is a promising paradigm for mining massive data while respecting users’ privacy. However, the deployment of FL on resource-constrained edge devices remains elusive due to its high resource demand. In this paper, unlike existing works that use expensive dense models, we propose to utilize dynamic sparse training in FL and design a novel sparse-to-sparse FL framework, named as
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StraAlgin: automated strategic alignment of services IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-03-12 Ahmed Saeed Alsayed, Hoa Khanh Dam, Aditya Ghose, Chau Nguyen
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Server-Initiated Federated Unlearning to Eliminate Impacts of Low-Quality Data IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-02-20 Pengfei Wang, Wei Song, Heng Qi, Changjun Zhou, Fuliang Li, Yong Wang, Peng Sun, Qiang Zhang
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Recommendation-Enabled Edge Caching and D2D Offloading Via Incentive-Driven Deep Reinforcement Learning IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-02-19 Tong Wu, Dongjin Yu, Chengfei Liu, Dongjing Wang, Binbin Huang
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Web Service Composition in Mobile Environment: A Survey of Techniques IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-02-05 Cheyma Ben Njima, Chirine Ghedira Guegan, Youssef Gamha, Lotfi Ben Romdhane
Today, with the exponential rise in the use of the internet, the trend of the massive use of mobile devices (tablets, laptops, computers, iPads etc...) the user has become inseparable from his smartphone, which facilitates the use of several services in different fields (work, research, commerce, etc.). Besides, with the proliferation of data, the needs of consumers are becoming increasingly complex
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Autoscaling Solutions for Cloud Applications under Dynamic Workloads IEEE Trans. Serv. Comput. (IF 8.1) Pub Date : 2024-02-05 Giovanni Quattrocchi, Emilio Incerto, Riccardo Pinciroli, Catia Trubiani, Luciano Baresi