Dopamine: Differentially Private Federated Learning on Medical Data

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Dopamine: Differentially Private Federated Learning on Medical Data

27 January 2021

Mohammad Malekzadeh

Burak Hasircioglu

Deniz Gündüz

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Papers citing "Dopamine: Differentially Private Federated Learning on Medical Data"

18 / 18 papers shown

Title
Federated Learning for Cyber Physical Systems: A Comprehensive Survey Minh K. Quan P. Pathirana M. Wijayasundara S. Setunge Dinh C. Nguyen Christopher G. Brinton David J. Love H. Vincent Poor AI4CE 239 13 0 08 May 2025
Trustworthy Federated Learning: Privacy, Security, and BeyondKnowledge and Information Systems (KAIS), 2024 Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 244 34 0 03 Nov 2024
Private Collaborative Edge Inference via Over-the-Air Computation Selim F. Yilmaz Burak Hasircioglu Li Qiao Deniz Gunduz FedML 302 5 0 30 Jul 2024
Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data Yvonne Zhou Mingyu Liang Shubham Sharma Dana Dachman-Soled Danial Dervovic Antigoni Polychroniadou Min Wu 229 2 0 06 Feb 2024
Global Differential Privacy for Distributed Metaverse Healthcare SystemsiMeta (iMeta), 2023 Mehdi Letafati Safa Otoum OOD 176 9 0 22 Jul 2023
Federated Learning for Medical Image Analysis: A SurveyPattern Recognition (Pattern Recogn.), 2023 Hao Guan Pew-Thian Yap Andrea Bozoki Mingxia Liu FedML OOD 388 240 0 09 Jun 2023
A Privacy-Preserving Federated Learning Approach for Kernel methodsInternational Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2023 Anika Hannemann Ali Burak Ünal Arjhun Swaminathan Erik Buchmann Mete Akgün 83 6 0 05 Jun 2023
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning AttacksConference on Computer and Communications Security (CCS), 2022 Chulin Xie Yunhui Long Pin-Yu Chen Qinbin Li Arash Nourian Sanmi Koyejo Bo Li FedML 329 17 0 08 Sep 2022
Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions Chulin Xie Zhong Cao Yunhui Long Diange Yang Ding Zhao Yue Liu 229 8 0 08 Sep 2022
Byzantines can also Learn from History: Fall of Centered Clipping in Federated LearningIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022 Kerem Ozfatura Emre Ozfatura Alptekin Kupcu Deniz Gunduz AAML FedML 234 21 0 21 Aug 2022
Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-Ray DataItalian National Conference on Sensors (INS), 2022 Joceline Ziegler Bjarne Pfitzner H. Schulz A. Saalbach B. Arnrich FedML 121 20 0 06 May 2022
FLSys: Toward an Open Ecosystem for Federated Learning Mobile Apps Xiaopeng Jiang Han Hu Vijaya Datta Mayyuri An M. Chen D. Shila Adriaan Larmuseau Ruoming Jin Cristian Borcea Nhathai Phan FedML 134 16 0 17 Nov 2021
Federated Learning for Smart Healthcare: A Survey Dinh C. Nguyen Quoc-Viet Pham P. Pathirana Ming Ding Aruna Seneviratne Zihuai Lin O. Dobre Won Joo Hwang FedML 206 708 0 16 Nov 2021
Efficient Hyperparameter Optimization for Differentially Private Deep Learning Aman Priyanshu Rakshit Naidu Fatemehsadat Mireshghallah Mohammad Malekzadeh 174 9 0 09 Aug 2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' OutputsConference on Computer and Communications Security (CCS), 2021 Mohammad Malekzadeh Anastasia Borovykh Deniz Gündüz MIACV 163 44 0 25 May 2021
Blockchain based Privacy-Preserved Federated Learning for Medical Images: A Case Study of COVID-19 CT Scans Rajesh Kumar Wenyong Wang Cheng Yuan Jay Kumar Zakria He Qing Ting Yang A. Khan OOD FedML 118 9 0 22 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future ChallengesIEEE Journal on Selected Areas in Communications (JSAC), 2021 Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 201 478 0 05 Apr 2021
FedADC: Accelerated Federated Learning with Drift ControlInternational Symposium on Information Theory (ISIT), 2020 Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 342 46 0 16 Dec 2020