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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Safeguarding cross-silo federated learning with local differential privacy
Chen Wang, Xinkui Wu, Gaoyang Liu, et al.
Digital Communications and Networks (2021) Vol. 8, Iss. 4, pp. 446-454
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Local differential privacy and its applications: A comprehensive survey
Mengmeng Yang, Taolin Guo, Tianqing Zhu, et al.
Computer Standards & Interfaces (2023) Vol. 89, pp. 103827-103827
Open Access | Times Cited: 71
Fairness and privacy preserving in federated learning: A survey
Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, et al.
Information Fusion (2023) Vol. 105, pp. 102198-102198
Open Access | Times Cited: 29
Social Metaverse: Challenges and Solutions
Yuntao Wang, Zhou Su, Yan Miao
IEEE Internet of Things Magazine (2023) Vol. 6, Iss. 3, pp. 144-150
Open Access | Times Cited: 28
Security of federated learning with IoT systems: Issues, limitations, challenges, and solutions
Jean-Paul A. Yaacoub, Hassan Noura, Ola Salman
Internet of Things and Cyber-Physical Systems (2023) Vol. 3, pp. 155-179
Open Access | Times Cited: 28
A Confusion Method for the Protection of User Topic Privacy in Chinese Keyword-based Book Retrieval
Zongda Wu, Jian Xie, Shigen Shen, et al.
ACM Transactions on Asian and Low-Resource Language Information Processing (2023) Vol. 22, Iss. 5, pp. 1-19
Closed Access | Times Cited: 26
Balancing privacy and performance in federated learning: A systematic literature review on methods and metrics
Samaneh Mohammadi, Ali Balador, Sima Sinaei, et al.
Journal of Parallel and Distributed Computing (2024) Vol. 192, pp. 104918-104918
Open Access | Times Cited: 14
Privacy preservation in Artificial Intelligence and Extended Reality (AI-XR) metaverses: A survey
Mahdi Alkaeed, Adnan Qayyum, Junaid Qadir
Journal of Network and Computer Applications (2024) Vol. 231, pp. 103989-103989
Open Access | Times Cited: 10
Distributed private preserving learning based chaotic encryption framework for cognitive healthcare IoT systems
Shaik Abdul Nabi, Ponugoti Kalpana, Subhash Chandra, et al.
Informatics in Medicine Unlocked (2024) Vol. 49, pp. 101547-101547
Open Access | Times Cited: 9
RNS-Based Adaptive Compression Scheme for the Block Data in the Blockchain for IIoT
Zhaohui Guo, Zhen Gao, Qiang Liu, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 12, pp. 9239-9249
Closed Access | Times Cited: 29
A survey on federated learning: a perspective from multi-party computation
Fengxia Liu, Zhiming Zheng, Yexuan Shi, et al.
Frontiers of Computer Science (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 20
LSTM Network-Based Adaptation Approach for Dynamic Integration in Intelligent End-Edge-Cloud Systems
Xuan Yang, James A. Esquivel
Tsinghua Science & Technology (2024) Vol. 29, Iss. 4, pp. 1219-1231
Open Access | Times Cited: 6
Fed-PEMC: A Privacy-Enhanced Federated Deep Learning Algorithm for Consumer Electronics in Mobile Edge Computing
Qingxin Lin, Shui Jiang, Zihang Zhen, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 4073-4086
Closed Access | Times Cited: 4
Fed-MPS: Federated learning with local differential privacy using model parameter selection for resource-constrained CPS
Shui Jiang, Xiaoding Wang, Youxiong Que, et al.
Journal of Systems Architecture (2024) Vol. 150, pp. 103108-103108
Closed Access | Times Cited: 4
User data privacy protection model based on federated reinforcement learning optimization method
Yuxuan Weng
Journal of Cyber Security Technology (2025), pp. 1-22
Closed Access
Data integrity of food and machine learning: Strategies, advances and prospective
Chenming Li, Jieqing Li, Yuanzhong Wang
Food Chemistry (2025), pp. 143831-143831
Closed Access
A Systematic Survey for Differential Privacy Techniques in Federated Learning
Yi Zhang, Yunfan Lu, Fengxia Liu
Journal of Information Security (2023) Vol. 14, Iss. 02, pp. 111-135
Open Access | Times Cited: 9
Duopoly Business Competition in Cross-Silo Federated Learning
Chao Huang, Shuqi Ke, Xin Liu
IEEE Transactions on Network Science and Engineering (2023) Vol. 11, Iss. 1, pp. 340-351
Closed Access | Times Cited: 9
Secure Decentralized Aggregation to Prevent Membership Privacy Leakage in Edge-Based Federated Learning
Meng Shen, Jing Wang, Jie Zhang, et al.
IEEE Transactions on Network Science and Engineering (2024) Vol. 11, Iss. 3, pp. 3105-3119
Closed Access | Times Cited: 3
FSRPCL: Privacy-preserve federated social relationship prediction with contrastive learning
Hanwen Liu, Nianzhe Li, Huaizhen Kou, et al.
Tsinghua Science & Technology (2024), pp. 1-20
Open Access | Times Cited: 3
DeFedHDP: Fully Decentralized Online Federated Learning for Heart Disease Prediction in Computational Health Systems
Mengli Wei, Ju Yang, Zhongyuan Zhao, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 5, pp. 6854-6867
Closed Access | Times Cited: 3
Reschedule Gradients: Temporal Non-IID Resilient Federated Learning
Xianyao You, Ximeng Liu, Nan Jiang, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 1, pp. 747-762
Closed Access | Times Cited: 15
A Fairness-Aware Attacker-Defender Model for Optimal Edge Network Operation and Protection
Duong Thuy Anh Nguyen, Jiaming Cheng, Ni Trieu, et al.
IEEE Networking Letters (2023) Vol. 5, Iss. 2, pp. 120-124
Open Access | Times Cited: 7
Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading
Fei Kong, Xiyue Wang, Jinxi Xiang, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1439-1449
Open Access | Times Cited: 2
A Survey of Privacy Preserving Methods based on Differential Privacy for Medical Data
Haicao Yan, Menghan Yin, Chaokun Yan, et al.
(2024) Vol. 90, pp. 104-108
Closed Access | Times Cited: 2
Achieving privacy-preserving cross-silo anomaly detection using federated XGBoost
Mengwei Yang, Shuqi Liu, Jie Xu, et al.
Journal of the Franklin Institute (2023) Vol. 360, Iss. 9, pp. 6194-6210
Closed Access | Times Cited: 6
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