Federated Machine Learning: Concept and Applications

Yang, Qiang, Liu, Yang, Chen, Tianjian, Tong, Yongxin·2019·ACM Transactions on Intelligent Systems and Technology
DOI 10.1145/3298981

Cited by (153)

Items 101–153 of 153

  1. Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health
    Long, Guodong, Shen, Tao, Tan, Yue, Gerrard, Leah, Clarke, Allison, Jiang, Jing · 2022 · Humanity Driven AI
  2. Federated Contrastive Learning With Feature-Based Distillation for Human Activity Recognition
    Xiao, Zhiwen, Tong, Huagang · 2025 · IEEE Transactions on Computational Social Systems
  3. Blockchain and federated learning-based distributed computing defence framework for sustainable society
    Sharma, Pradip Kumar, Park, Jong Hyuk, Cho, Kyungeun · 2020 · Sustainable Cities and Society
  4. Chain FL: Decentralized Federated Machine Learning via Blockchain
    Korkmaz, Caner, Kocas, Halil Eralp, Uysal, Ahmet, Masry, Ahmed, Ozkasap, Oznur, Akgun, Baris · 2020 · 2020 Second International Conference on Blockchain Computing and Applications (BCCA)
  5. Coordinated Backdoor Attacks against Federated Learning with Model-Dependent Triggers
    Gong, Xueluan, Chen, Yanjiao, Huang, Huayang, Liao, Yuqing, Wang, Shuai, Wang, Qian · 2022 · IEEE Network
  6. Wireless Network Intelligence at the Edge
    Park, Jihong, Samarakoon, Sumudu, Bennis, Mehdi, Debbah, Merouane · 2019 · Proceedings of the IEEE
  7. AI at the Edge: Blockchain-Empowered Secure Multiparty Learning With Heterogeneous Models
    Wang, Qianlong, Guo, Yifan, Wang, Xufei, Ji, Tianxi, Yu, Lixing, Li, Pan · 2020 · IEEE Internet of Things Journal
  8. Survey: Leakage and Privacy at Inference Time
    Jegorova, Marija, Kaul, Chaitanya, Mayor, Charlie, O'Neil, Alison Q., Weir, Alexander, Murray-Smith, Roderick, Tsaftaris, Sotirios A. · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  9. A robust analysis of adversarial attacks on federated learning environments
    Nair, Akarsh K., Raj, Ebin Deni, Sahoo, Jayakrushna · 2023 · Computer Standards & Interfaces
  10. Multi-Participant Multi-Class Vertical Federated Learning
    Feng, Siwei, Yu, Han · 2020 · arXiv
  11. Federated Learning Empowered Real-Time Medical Data Processing Method for Smart Healthcare
    Guo, Kehua, Chen, Tianyu, Ren, Sheng, Li, Nan, Hu, Min, Kang, Jian · 2024 · IEEE/ACM Transactions on Computational Biology and Bioinformatics
  12. A survey for federated learning evaluations: Goals and measures
    Chai, Di, Wang, Leye, Yang, Liu, Zhang, Junxue, Chen, Kai, Yang, Qiang · 2024 · IEEE Transactions on Knowledge and Data Engineering
  13. Blockchain-Federated-Learning and Deep Learning Models for COVID-19 Detection Using CT Imaging
    Kumar, Rajesh, Khan, Abdullah Aman, Kumar, Jay, Zakria, Golilarz, Noorbakhsh Amiri, Zhang, Simin, Ting, Yang, Zheng, Chengyu, Wang, Wenyong · 2021 · IEEE Sensors Journal
  14. Central Server Free Federated Learning over Single-sided Trust Social Networks
    He, Chaoyang, Tan, Conghui, Tang, Hanlin, Qiu, Shuang, Liu, Ji · 2019 · arXiv
  15. A federated learning framework for healthcare IoT devices
    Yuan, Binhang, Ge, Song, Xing, Wenhui · 2020 · arXiv
  16. Federated Learning for Data Analytics in Education
    Fachola, Christian, Tornaría, Agustín, Bermolen, Paola, Capdehourat, Germán, Etcheverry, Lorena, Fariello, María Inés · 2023 · Data
  17. Review on Federated Learning for digital transformation in healthcare through big data analytics
    Babar, Muhammad, Qureshi, Basit, Koubaa, Anis · 2024 · Future Generation Computer Systems
  18. Edge artificial intelligence for industrial internet of things applications: an industrial edge intelligence solution
    Foukalas, Fotis, Tziouvaras, Athanasios · 2021 · IEEE Industrial Electronics Magazine
  19. Exploring privacy measurement in federated learning
    Jagarlamudi, Gopi Krishna, Yazdinejad, Abbas, Parizi, Reza M., Pouriyeh, Seyedamin · 2024 · The Journal of Supercomputing
  20. Boosting Privately: Privacy-Preserving Federated Extreme Boosting for Mobile Crowdsensing
    Liu, Yang, Ma, Zhuo, Liu, Ximeng, Ma, Siqi, Nepal, Surya, Deng, Robert · 2019 · arXiv
  21. Fast and practical intrusion detection system based on federated learning for VANET
    Chen, Xiuzhen, Qiu, Weicheng, Chen, Lixing, Ma, Yinghua, Ma, Jin · 2024 · Computers & Security
  22. Designing a novel teaching platform for <scp>AI</scp>: A case study in a Thai school context
    Aung, Zaw Htet, Sanium, Soonthareeya, Songsaksuppachok, Chuenchat, Kusakunniran, Worapan, Precharattana, Monamorn, Chuechote, Suparat, Pongsanon, Khemmawadee, Ritthipravat, Panrasee · 2022 · Journal of Computer Assisted Learning
  23. Reliable customer analysis using federated learning and exploring deep-attention edge intelligence
    Ahmed, Usman, Srivastava, Gautam, Lin, Jerry Chun-Wei · 2022 · Future Generation Computer Systems
  24. Protecting Personal Healthcare Record Using Blockchain &amp; Federated Learning Technologies
    Aich, Satyabrata, Sinai, Nday Kabulo, Kumar, Saurabh, Ali, Mohammed, Choi, Yu Ran, Joo, Moon-Il, Kim, Hee-Cheol · 2022 · 2022 24th International Conference on Advanced Communication Technology (ICACT)
  25. RevFRF: Enabling Cross-Domain Random Forest Training With Revocable Federated Learning
    Liu, Yang, Ma, Zhuo, Yang, Yilong, Liu, Ximeng, Ma, Jianfeng, Ren, Kui · 2022 · IEEE Transactions on Dependable and Secure Computing
  26. Federated Learning For IoT: Applications, Trends, Taxonomy, Challenges, Current Solutions, and Future Directions
    Adam, Mumin, Baroudi, Uthman · 2024 · IEEE Open Journal of the Communications Society
  27. Data Poisoning in Sequential and Parallel Federated Learning
    Nuding, Florian, Mayer, Rudolf · 2022 · Proceedings of the 2022 ACM on International Workshop on Security and Privacy Analytics
  28. Toward Smart Security Enhancement of Federated Learning Networks
    Tan, Junjie, Liang, Ying-Chang, Luong, Nguyen Cong, Niyato, Dusit · 2021 · IEEE Network
  29. Label noise analysis meets adversarial training: A defense against label poisoning in federated learning
    Hallaji, Ehsan, Razavi-Far, Roozbeh, Saif, Mehrdad, Herrera-Viedma, Enrique · 2023 · Knowledge-Based Systems
  30. BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction
    Meese, Collin, Chen, Hang, Asif, Syed Ali, Li, Wanxin, Shen, Chien-Chung, Nejad, Mark · 2022 · 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid)
  31. Random sketch learning for deep neural networks in edge computing
    Li, Bin, Chen, Peijun, Liu, Hongfu, Guo, Weisi, Cao, Xianbin, Du, Junzhao, Zhao, Chenglin, Zhang, Jun · 2021 · Nature Computational Science
  32. Privacy Enhancing and Scalable Federated Learning to Accelerate AI Implementation in Cross-Silo and IoMT Environments
    Rachakonda, Siddartha, Moorthy, Shiva, Jain, Anshul, Bukharev, Aleksandr, Bucur, Anca, Manni, Francesca, Quiterio, Thaise M., Joosten, Lex, Mendez, Nancy Irisarri · 2023 · IEEE Journal of Biomedical and Health Informatics
  33. Backdoor attacks and defenses in feature-partitioned collaborative learning
    Liu, Yang, Yi, Zhihao, Chen, Tianjian · 2020 · arXiv
  34. Fast Convergence Algorithm for Analog Federated Learning
    Xia, Shuhao, Zhu, Jingyang, Yang, Yuhan, Zhou, Yong, Shi, Yuanming, Chen, Wei · 2021 · ICC 2021 - IEEE International Conference on Communications
  35. On the Outsized Importance of Learning Rates in Local Update Methods
    Charles, Zachary, Konečný, Jakub · 2020 · arXiv
  36. Detection of anomalous vehicle trajectories using federated learning
    Koetsier, Christian, Fiosina, Jelena, Gremmel, Jan N., Müller, Jörg P., Woisetschläger, David M., Sester, Monika · 2022 · ISPRS Open Journal of Photogrammetry and Remote Sensing
  37. A federated learning architecture for secure and private neuroimaging analysis
    Stripelis, Dimitris, Gupta, Umang, Saleem, Hamza, Dhinagar, Nikhil, Ghai, Tanmay, Anastasiou, Chrysovalantis, Sánchez, Rafael, Steeg, Greg Ver, Ravi, Srivatsan, Naveed, Muhammad et al. · 2024 · Patterns
  38. A Blockchain-Reinforced Federated Intrusion Detection Architecture for IIoT
    Jiang, Dingde, Wang, Zhihao, Wang, Ye, Tan, Lizhuang, Wang, Jian, Zhang, Peiying · 2024 · IEEE Internet of Things Journal
  39. <i> B <sup>2</sup> SFL: </i> A Bi-Level Blockchained Architecture for Secure Federated Learning-Based Traffic Prediction
    Guo, Hao, Meese, Collin, Li, Wanxin, Shen, Chien-Chung, Nejad, Mark · 2023 · IEEE Transactions on Services Computing
  40. Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
    Park, Jihong, Samarakoon, Sumudu, Elgabli, Anis, Kim, Joongheon, Bennis, Mehdi, Kim, Seong-Lyun, Debbah, Merouane · 2021 · Proceedings of the IEEE
  41. A distribution information sharing federated learning approach for medical image data
    Zhao, Leiyang, Huang, Jianjun · 2023 · Complex &amp; Intelligent Systems
  42. MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing
    Zhang, Yu, Gu, Tao, Zhang, Xi · 2020 · 2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)
  43. Healthcare 5.0-Driven Clinical Intelligence: The Learn-Predict-Monitor-Detect-Correct Framework for Systematic Artificial Intelligence Integration in Critical Care
    Boussi Rahmouni, Hanene, Hassine, Nesrine Ben El Hadj, Chouchen, Mariem, Ceylan, Halil İbrahim, Muntean, Raul Ioan, Bragazzi, Nicola Luigi, Dergaa, Ismail · 2025 · Healthcare
  44. Scaling Neuroscience Research Using Federated Learning
    Stripelis, Dimitris, Ambite, Jose Luis, Lam, Pradeep, Thompson, Paul · 2021 · 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)
  45. On the Detection of Shilling Attacks in Federated Collaborative Filtering
    Jiang, Yangfan, Zhou, Yipeng, Wu, Di, Li, Chao, Wang, Yan · 2020 · 2020 International Symposium on Reliable Distributed Systems (SRDS)
  46. Clean‐label poisoning attacks on federated learning for <scp>IoT</scp>
    Yang, Jie, Zheng, Jun, Baker, Thar, Tang, Shuai, Tan, Yu‐an, Zhang, Quanxin · 2023 · Expert Systems
  47. Leveraging towards Privacy-preserving using Federated Machine Learning for Healthcare Systems
    Gandhi, Neel, Mishra, Shakti, Bharti, Santosh Kumar, Bhagat, Kaushal · 2021 · 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
  48. Robust Federated Learning for Ubiquitous Computing through Mitigation of Edge-Case Backdoor Attacks
    Elhattab, Fatima, Bouchenak, Sara, Talbi, Rania, Nitu, Vlad · 2022 · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
  49. Federated Learning with Dynamic Transformer for Text to Speech
    Hong, Zhenhou, Wang, Jianzong, Qu, Xiaoyang, Liu, Jie, Zhao, Chendong, Xiao, Jing · 2021 · Interspeech 2021
  50. Advancing IoMT Defenses: Deep Collaborative Learning for Robust Healthcare Security
    Otoum, Yazan, Singh, Paritosh, Nayak, Amiya · 2024 · GLOBECOM 2024 - 2024 IEEE Global Communications Conference
  51. A Pragmatic Framework for Federated Learning Risk and Governance in Academic Medical Centers
    Bottomly, Daniel, Barnes, Bridget, Mavuwa, Kuli, Lee, Nikki, Roth, Holger R, Chen, Chester, McWeeney, Shannon K · 2026 · JMIR AI
  52. Quantifying and Localizing Usable Information Leakage from Neural Network Gradients
    Mo, Fan, Borovykh, Anastasia, Malekzadeh, Mohammad, Demetriou, Soteris, Gündüz, Deniz, Haddadi, Hamed · 2021 · arXiv
  53. A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research
    Roy, Falguni, Ding, Xiaofeng, Choo, K. -K. R., Zhou, Pan · 2024 · arXiv