Split learning for health: Distributed deep learning without sharing raw patient data

3 December 2018

Papers citing "Split learning for health: Distributed deep learning without sharing raw patient data"

50 / 343 papers shown

Title
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection Bingzhe Wu Jintang Li Junchi Yu Yatao Bian Hengtong Zhang ... Guangyu Sun Peng Cui Zibin Zheng Zhe Liu P. Zhao OOD 37 25 0 20 May 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
Generative Adversarial Network Based Synthetic Learning and a Novel Domain Relevant Loss Term for Spine Radiographs E. Schonfeld A. Veeravagu MedIm 16 1 0 05 May 2022
Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation Sangjoon Park Jong Chul Ye FedML MedIm 42 19 0 07 Apr 2022
Enabling All In-Edge Deep Learning: A Literature Review Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 23 22 0 07 Apr 2022
CDKT-FL: Cross-Device Knowledge Transfer using Proxy Dataset in Federated Learning Huy Q. Le Minh N. H. Nguyen Shashi Raj Pandey Chaoning Zhang C. Hong FedML 26 10 0 04 Apr 2022
MixNN: A design for protecting deep learning models Chao Liu Hao Chen Yusen Wu Rui Jin 10 0 0 28 Mar 2022
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm Qingsong Zhang Bin Gu Zhiyuan Dang Cheng Deng Heng-Chiao Huang FedML 14 14 0 19 Mar 2022
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey Mansoor Ali F. Naeem M. Tariq Georges Kaddoum 26 119 0 18 Mar 2022
SC2 Benchmark: Supervised Compression for Split Computing Yoshitomo Matsubara Ruihan Yang Marco Levorato Stephan Mandt 14 18 0 16 Mar 2022
Similarity-based Label Inference Attack against Training and Inference of Split Learning Junlin Liu Xinchen Lyu Qimei Cui Xiaofeng Tao FedML 24 26 0 10 Mar 2022
LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data Lianlian Jiang Yuexuan Wang Wenyi Zheng Chao Jin Zengxiang Li Sin Gee Teo AI4TS 25 10 0 08 Mar 2022
Differentially Private Label Protection in Split Learning Xin Yang Jiankai Sun Yuanshun Yao Junyuan Xie Chong-Jun Wang FedML 39 36 0 04 Mar 2022
Label Leakage and Protection from Forward Embedding in Vertical Federated Learning Jiankai Sun Xin Yang Yuanshun Yao Chong-Jun Wang FedML 36 37 0 02 Mar 2022
Split HE: Fast Secure Inference Combining Split Learning and Homomorphic Encryption George-Liviu Pereteanu A. Alansary Jonathan Passerat-Palmbach FedML 25 21 0 27 Feb 2022
Efficient Attribute Unlearning: Towards Selective Removal of Input Attributes from Feature Representations Tao Guo Song Guo Jiewei Zhang Wenchao Xu Junxiao Wang MU 27 17 0 27 Feb 2022
Efficient Distributed DNNs in the Mobile-edge-cloud Continuum F. Malandrino C. Chiasserini G. di Giacomo 14 7 0 23 Feb 2022
Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol Dataset Yoo Jeong Ha Gusang Lee M. Yoo Soyi Jung Seehwan Yoo Joongheon Kim OOD 16 25 0 21 Feb 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning Chuan Ma Jun Li Kang Wei Bo Liu Ming Ding Long Yuan Zhu Han H. Vincent Poor 49 42 0 18 Feb 2022
PPA: Preference Profiling Attack Against Federated Learning Chunyi Zhou Yansong Gao Anmin Fu Kai Chen Zhiyang Dai Zhi-Li Zhang Minhui Xue Yuqing Zhang AAML 25 21 0 10 Feb 2022
Collaborative analysis of genomic data: vision and challenges Sara Jafarbeiki R. Gaire A. Sakzad S. K. Kermanshahi Ron Steinfeld 14 5 0 10 Feb 2022
FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients Jianyu Wang Qi A. S. Rawat Sashank J. Reddi Sagar M. Waghmare Felix X. Yu Gauri Joshi FedML 22 22 0 28 Jan 2022
Transformers in Medical Imaging: A Survey Fahad Shamshad Salman Khan Syed Waqas Zamir Muhammad Haris Khan Munawar Hayat F. Khan Huazhu Fu ViT LM&MA MedIm 111 663 0 24 Jan 2022
Flexible Parallel Learning in Edge Scenarios: Communication, Computational and Energy Cost F. Malandrino C. Chiasserini FedML 6 2 0 19 Jan 2022
Get your Foes Fooled: Proximal Gradient Split Learning for Defense against Model Inversion Attacks on IoMT data Sunder Ali Khowaja I. Lee K. Dev M. Jarwar N. Qureshi AAML 17 16 0 12 Jan 2022
Feature Space Hijacking Attacks against Differentially Private Split Learning Grzegorz Gawron P. Stubbings AAML 21 20 0 11 Jan 2022
Improving the Behaviour of Vision Transformers with Token-consistent Stochastic Layers Nikola Popovic D. Paudel Thomas Probst Luc Van Gool 34 1 0 30 Dec 2021
Distributed Machine Learning and the Semblance of Trust Dmitrii Usynin Alexander Ziller Daniel Rueckert Jonathan Passerat-Palmbach Georgios Kaissis 14 1 0 21 Dec 2021
Levels of Autonomous Radiology S. Ghuwalewala V. Kulkarni R. Pant A. Kharat MedIm 6 11 0 14 Dec 2021
Server-Side Local Gradient Averaging and Learning Rate Acceleration for Scalable Split Learning Shraman Pal Mansi Uniyal Jihong Park Praneeth Vepakomma Ramesh Raskar M. Bennis M. Jeon Jinho D. Choi FedML 22 29 0 11 Dec 2021
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning Ayush Chopra Surya Kant Sahu Abhishek Singh Abhinav Java Praneeth Vepakomma Vivek Sharma Ramesh Raskar 32 26 0 02 Dec 2021
ExPLoit: Extracting Private Labels in Split Learning Sanjay Kariyappa Moinuddin K. Qureshi FedML 39 22 0 25 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 34 416 0 24 Nov 2021
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks Chaoyang He Alay Dilipbhai Shah Zhenheng Tang Adarshan Naiynar Sivashunmugam Keerti Bhogaraju Mita Shimpi Li Shen X. Chu Mahdi Soltanolkotabi Salman Avestimehr VLM FedML 26 68 0 22 Nov 2021
Federated Learning for Smart Healthcare: A Survey Dinh C. Nguyen Viet Quoc Pham P. Pathirana Ming Ding Aruna Seneviratne Zihuai Lin O. Dobre W. Hwang FedML 17 512 0 16 Nov 2021
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning Yuezhou Wu Yan Kang Jiahuan Luo Yuanqin He Qiang Yang FedML AAML 19 68 0 16 Nov 2021
Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using Urban Air Mobility (UAM) Networks Yoo Jeong Ha Soyi Jung Jae-Hyun Kim Marco Levorato Joongheon Kim 21 3 0 15 Nov 2021
FedFly: Towards Migration in Edge-based Distributed Federated Learning R. Ullah Di Wu P. Harvey Peter Kilpatrick I. Spence Blesson Varghese FedML 35 11 0 02 Nov 2021
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training Sangjoon Park Gwanghyun Kim Jeongsol Kim Boah Kim Jong Chul Ye ViT FedML MedIm 36 30 0 02 Nov 2021
BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the Edge Abdelrahman I. Hosny Marina Neseem Sherief Reda MQ 33 4 0 29 Oct 2021
Federated learning and next generation wireless communications: A survey on bidirectional relationship Debaditya Shome Omer Waqar Wali Ullah Khan 26 31 0 14 Oct 2021
Application of Homomorphic Encryption in Medical Imaging Francis Dutil Alexandre See Lisa Di-Jorio F. Chandelier MedIm 21 2 0 12 Oct 2021
An Information-Theoretic Analysis of The Cost of Decentralization for Learning and Inference Under Privacy Constraints Sharu Theresa Jose Osvaldo Simeone FedML 9 0 0 11 Oct 2021
Distributed Learning Approaches for Automated Chest X-Ray Diagnosis E. Giacomello M. Cataldo Daniele Loiacono P. Lanzi OOD 17 1 0 04 Oct 2021
FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models Lan Zhang Dapeng Oliver Wu Xiaoyong Yuan FedML 32 47 0 08 Sep 2021
SplitGuard: Detecting and Mitigating Training-Hijacking Attacks in Split Learning Ege Erdogan Alptekin Kupcu A. E. Cicek AAML 11 32 0 20 Aug 2021
UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning Ege Erdogan Alptekin Kupcu A. E. Cicek FedML MIACV 35 77 0 20 Aug 2021
Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation Fei Zheng Chaochao Chen Xiaolin Zheng Mingjie Zhu FedML 11 18 0 17 Aug 2021
Spatio-Temporal Split Learning Joongheon Kim Seunghoon Park Soyi Jung Seehwan Yoo 13 9 0 13 Aug 2021
Decentralized Deep Learning for Multi-Access Edge Computing: A Survey on Communication Efficiency and Trustworthiness Yuwei Sun H. Ochiai Hiroshi Esaki FedML 74 45 0 30 Jul 2021