Title
SoK: Decentralized AI (DeAI) Zhipeng Wang Rui Sun Elizabeth Lui Vatsal Shah Xihan Xiong Jiahao Sun Davide Crapis William Knottenbelt 101 1 0 26 Nov 2024
Learning Algorithms Made Simple Noorbakhsh Amiri Golilarz Elias Hossain Abdoljalil Addeh Keyan Alexander Rahimi AAML 52 0 0 11 Oct 2024
Multi-dimensional Data Quick Query for Blockchain-based Federated Learning Jiaxi Yang Sheng Cao Xiangli Peng Xiong-da Li Xiaosong Zhang 27 2 0 27 Sep 2023
Blockchain-based Federated Learning with SMPC Model Verification Against Poisoning Attack for Healthcare Systems Aditya Pribadi Kalapaaking Ibrahim Khalil X. Yi 21 41 0 26 Apr 2023
Blockchain-based Federated Learning with Secure Aggregation in Trusted Execution Environment for Internet-of-Things Aditya Pribadi Kalapaaking Ibrahim Khalil Mohammad Saidur Rahman Mohammed Atiquzzaman X. Yi Mahathir Almashor FedML 21 65 0 25 Apr 2023
Deep Anatomical Federated Network (Dafne): An open client-server framework for the continuous, collaborative improvement of deep learning-based medical image segmentation F. Santini Jakob Wasserthal Abramo Agosti X. Deligianni K. Keene ... C. Weidensteiner G. Manco Matteo Paoletti Valentina Mazzoli Arjun D Desai FedML MedIm 16 9 0 13 Feb 2023
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine A. Chaddad Qizong Lu Jiali Li Y. Katib R. Kateb C. Tanougast Ahmed Bouridane Ahmed Abdulkadir OOD 24 38 0 17 Nov 2022
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model Shuo Shao Wenyuan Yang Hanlin Gu Zhan Qin Lixin Fan Qiang Yang Kui Ren FedML 29 27 0 14 Nov 2022
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring Wenyuan Yang Shuo Shao Yue Yang Xiyao Liu Ximeng Liu Zhihua Xia Gerald Schaefer Hui Fang FedML 14 21 0 14 Nov 2022
A review of Deep learning Techniques for COVID-19 identification on Chest CT images S. BrisklineKiruba A. Petchiammal D. Murugan 27 1 0 29 Jul 2022
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging Ziyuan Yang Wenjun Xia Zexin Lu Yingyu Chen Xiaoxia Li Yi Zhang FedML OOD 16 28 0 08 Jun 2022
Federated learning: Applications, challenges and future directions Subrato Bharati Hossain Mondal Prajoy Podder V. B. Surya Prasath FedML 39 53 0 18 May 2022
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning Xiaoxiao Liang Yiqun Lin Huazhu Fu Lei Zhu Xiaomeng Li FedML 19 48 0 26 Mar 2022
ST-FL: Style Transfer Preprocessing in Federated Learning for COVID-19 Segmentation Antonios Georgiadis Varun Babbar Fran Silavong Sean J. Moran R. Otter OOD FedML 23 3 0 25 Mar 2022
A Two-Stage Federated Transfer Learning Framework in Medical Images Classification on Limited Data: A COVID-19 Case Study Alex Zhang Naomi Fengqi Li OOD FedML 32 4 0 24 Mar 2022
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey Mansoor Ali F. Naeem M. Tariq Georges Kaddoum 32 119 0 18 Mar 2022
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-based Federated Learning Zhilin Wang Qin Hu Ruinian Li Minghui Xu Zehui Xiong FedML 40 49 0 18 Feb 2022
A Comprehensive Survey on Federated Learning: Concept and Applications Dhurgham Hassan Mahlool Mohammed Hamzah Abed FedML 23 22 0 23 Jan 2022
Blockchain and Federated Edge Learning for Privacy-Preserving Mobile Crowdsensing Qin Hu Zhilin Wang Minghui Xu Xiuzhen Cheng 40 33 0 16 Oct 2021
Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing Dinh C. Nguyen Ming Ding P. Pathirana Aruna Seneviratne Albert Y. Zomaya FedML MedIm 36 84 0 14 Oct 2021
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions Thippa Reddy Gadekallu Viet Quoc Pham Thien Huynh-The S. Bhattacharya Praveen Kumar Reddy Maddikunta Madhusanka Liyanage FedML AI4CE 50 39 0 08 Oct 2021
Blockchain-based Trustworthy Federated Learning Architecture Sin Kit Lo Yue Liu Qinghua Lu Chen Wang Xiwei Xu Hye-Young Paik Liming Zhu FedML 26 18 0 16 Aug 2021
A Survey of Machine Learning Techniques for Detecting and Diagnosing COVID-19 from Imaging Aishwarza Panday M. A. Kabir N. K. Chowdhury 39 7 0 25 Jul 2021
Federated Learning for Multi-Center Imaging Diagnostics: A Study in Cardiovascular Disease Akis Linardos Kaisar Kushibar S. Walsh P. Gkontra Karim Lekadir FedML 25 62 0 07 Jul 2021
Blockchain and AI-based Solutions to Combat Coronavirus (COVID-19)-like Epidemics: A Survey Dinh C. Nguyen Ming Ding P. Pathirana Aruna Seneviratne 28 179 0 28 Jun 2021
Optimality and Stability in Federated Learning: A Game-theoretic Approach Kate Donahue Jon M. Kleinberg FedML 13 45 0 17 Jun 2021
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data R. Alizadehsani Danial Sharifrazi N. H. Izadi Javad Hassannataj Joloudari A. Shoeibi ... F. Khozeimeh Abbas Khosravi S. Nahavandi Sheikh Mohammed Shariful Islam U. Acharya 24 59 0 12 Feb 2021
Federated Learning: Opportunities and Challenges P. Mammen FedML 48 211 0 14 Jan 2021
Deep Neural Networks for COVID-19 Detection and Diagnosis using Images and Acoustic-based Techniques: A Recent Review Walid Hariri A. Narin 19 35 0 10 Dec 2020