Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey

18 March 2022

Papers citing "Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey"

27 / 27 papers shown

Title
Defending Against Gradient Inversion Attacks for Biomedical Images via Learnable Data Perturbation Shiyi Jiang F. Firouzi Krishnendu Chakrabarty AAML MedIm 41 0 0 19 Mar 2025
Diffusion Models for Computational Neuroimaging: A Survey Haokai Zhao Haowei Lou Lina Yao Wei Peng Ehsan Adeli K. Pohl Yu Zhang MedIm 50 2 0 10 Feb 2025
Principles and Components of Federated Learning Architectures S. Saif Md Abdullah Al Nasim Parag Biswas Abdur Rashid Md. Mahim Anjum Haque Md. Zihad Bin Jahangir Kishor Datta Gupta FedML 59 1 0 07 Feb 2025
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation Muhammad Irfan Khan Elina Kontio Suleiman A. Khan Mojtaba Jafaritadi FedML 39 0 0 31 Dec 2024
A Novel Framework of Horizontal-Vertical Hybrid Federated Learning for EdgeIoT Kai Li Yilei Liang Xin Yuan Wei Ni Jon Crowcroft Chau Yuen Ozgur B. Akan FedML 23 3 0 02 Oct 2024
In-depth Analysis of Privacy Threats in Federated Learning for Medical Data B. Das M. H. Amini Yanzhao Wu 19 0 0 27 Sep 2024
Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning Nathaniel Hudson Valérie Hayot-Sasson Y. Babuji Matt Baughman J. G. Pauloski Ryan Chard Ian Foster Kyle Chard 35 1 0 24 Sep 2024
Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review A. Ankolekar S. Boie M. Abdollahyan E. Gadaleta S. A. Hasheminasab ... M. Bussmann S. Khalid H. Kruger Philippe Lambin G. Papanastasiou AI4CE 19 1 0 08 Aug 2024
DART: A Solution for Decentralized Federated Learning Model Robustness Analysis Chao Feng Alberto Huertas Celdrán Jan von der Assen Enrique Tomás Martínez Beltrán Gérome Bovet Burkhard Stiller OOD AAML 48 8 0 11 Jul 2024
Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimization Xiumei Deng Jun Li Kang Wei Long Shi Zeihui Xiong Ming Ding Wen Chen Shi Jin H. Vincent Poor FedML 43 0 0 28 May 2024
Generative AI for the Optimization of Next-Generation Wireless Networks: Basics, State-of-the-Art, and Open Challenges Fahime Khoramnejad Ekram Hossain 32 6 0 22 May 2024
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels Satyavrat Wagle Seyyedali Hosseinalipour Naji Khosravan Christopher G. Brinton FedML 32 2 0 15 Apr 2024
Decentralized Proactive Model Offloading and Resource Allocation for Split and Federated Learning Binbin Huang Hailiang Zhao Lingbin Wang Wenzhuo Qian Yuyu Yin Shuiguang Deng 29 0 0 09 Feb 2024
MIA-BAD: An Approach for Enhancing Membership Inference Attack and its Mitigation with Federated Learning Soumya Banerjee Sandip Roy Sayyed Farid Ahamed Devin Quinn Marc Vucovich Dhruv Nandakumar K. Choi Abdul Rahman Edward Bowen Sachin Shetty 22 3 0 28 Nov 2023
A Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions A. Bashir Nancy Victor S. Bhattacharya Thien Huynh-The Rajeswari Chengoden Gokul Yenduri Praveen Kumar Reddy Maddikunta Viet Quoc Pham Thippa Reddy Gadekallu Madhusanka Liyanage FedML 45 19 0 02 Apr 2023
Privacy-preserving machine learning for healthcare: open challenges and future perspectives Alejandro Guerra-Manzanares L. J. L. Lopez Michail Maniatakos Farah E. Shamout 13 9 0 27 Mar 2023
Towards Real-World Applications of Personalized Anesthesia Using Policy Constraint Q Learning for Propofol Infusion Control Xiuding Cai Jiao Chen Yaoyao Zhu Beiming Wang Yu Yao OffRL 27 5 0 17 Mar 2023
Metaverse Communications, Networking, Security, and Applications: Research Issues, State-of-the-Art, and Future Directions Mansoor Ali F. Naeem Georges Kaddoum E. Hossain 30 40 0 25 Dec 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey A. Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz I. Hacihaliloglu Dorit Merhof DiffM MedIm 35 354 0 14 Nov 2022
A Review of Federated Learning in Energy Systems Xu Cheng Chendan Li Xiufeng Liu 16 26 0 20 Aug 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions A. Rauniyar D. Hagos Debesh Jha J. E. Haakegaard Ulas Bagci D. Rawat Vladimir Vlassov OOD 27 90 0 05 Aug 2022
Synergy between 6G and AI: Open Future Horizons and Impending Security Risks E. Yaacoub 27 1 0 20 Mar 2022
Efficient Client Contribution Evaluation for Horizontal Federated Learning Jie Zhao Xinghua Zhu Jianzong Wang Jing Xiao FedML 24 28 0 26 Feb 2021
CaPC Learning: Confidential and Private Collaborative Learning Christopher A. Choquette-Choo Natalie Dullerud Adam Dziedzic Yunxiang Zhang S. Jha Nicolas Papernot Xiao Wang FedML 59 57 0 09 Feb 2021
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring Qiong Wu Xu Chen Zhi Zhou Junshan Zhang FedML 150 269 0 14 Dec 2020
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning Yinghua Zhang Yangqiu Song Jian Liang Kun Bai Qiang Yang AAML 32 28 0 25 Aug 2020
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,698 0 18 Mar 2020