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 / 380 papers shown

Title
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning Mingyuan Fan Cen Chen Chengyu Wang Ximeng Liu Wenmeng Zhou AAML FedML 375 0 0 05 Dec 2022
PiPar: Pipeline Parallelism for Collaborative Machine Learning Zihan Zhang Philip Rodgers Peter Kilpatrick I. Spence Blesson Varghese FedML 219 6 0 01 Dec 2022
Split Learning without Local Weight Sharing to Enhance Client-side Data PrivacyIEEE Transactions on Dependable and Secure Computing (TDSC), 2022 Ngoc Duy Pham Tran Dang Khoa Phan A. Abuadbba Yansong Gao Doan Nguyen Naveen Chilamkurti 219 10 0 01 Dec 2022
An Efficient Split Fine-tuning Framework for Edge and Cloud Collaborative Learning Shaoshuai Shi Qing Yang Yang Xiang Shuhan Qi Xinyu Wang 171 2 0 30 Nov 2022
UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled ScenesIEEE International Conference on Computer Vision (ICCV), 2022 Sunwook Hwang Youngseok Kim Seongwon Kim S. Bahk Hyung-Sin Kim 3DPC 191 5 0 22 Nov 2022
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and ChallengesIEEE Communications Surveys and Tutorials (COMST), 2022 Enrique Tomás Martínez Beltrán Mario Quiles Pérez Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 423 381 0 15 Nov 2022
PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud InferenceACM International Conference on Embedded Networked Sensor Systems (SenSys), 2022 Linshan Jiang Qun Song Rui Tan Mo Li 151 10 0 12 Nov 2022
Differentially Private CutMix for Split Learning with Vision Transformer Seungeun Oh Jihong Park Sihun Baek Hyelin Nam Praneeth Vepakomma Ramesh Raskar M. Bennis Seong-Lyun Kim FedML 171 21 0 28 Oct 2022
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source SamplingNeural Information Processing Systems (NeurIPS), 2022 Junyuan Hong Lingjuan Lyu Jiayu Zhou Michael Spranger SyDa 186 8 0 23 Oct 2022
A Survey on Over-the-Air ComputationIEEE Communications Surveys and Tutorials (COMST), 2022 Alphan Șahin Rui Yang 463 132 0 20 Oct 2022
Protecting Split Learning by Potential Energy LossInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 Fei Zheng Chaochao Chen Lingjuan Lyu Xinyi Fu Xing Fu Weiqiang Wang Xiaolin Zheng Jianwei Yin 224 6 0 18 Oct 2022
Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated LearningIEEE Transactions on Dependable and Secure Computing (TDSC), 2022 Peng Ye Zhifeng Jiang Wei Wang Yue Liu Baochun Li AAML FedML 139 22 0 13 Oct 2022
A Survey on Heterogeneous Federated Learning Dashan Gao Xin Yao Qian Yang FedML 235 77 0 10 Oct 2022
Split Federated Learning on Micro-controllers: A Keyword Spotting Showcase Jingtao Li Runcong Kuang FedML 150 3 0 04 Oct 2022
VFLens: Co-design the Modeling Process for Efficient Vertical Federated Learning via VisualizationInternational Symposium of Chinese CHI (ISCC), 2022 Y. Tian He Wang Laixin Xie Xiaojuan Ma Quan Li FedML 155 1 0 02 Oct 2022
Vertical Semi-Federated Learning for Efficient Online Advertising Wenjie Li Qiaolin Xia Hao Cheng Kouying Xue Shutao Xia FedML 342 19 0 30 Sep 2022
Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information Kiwan Maeng Chuan Guo Sanjay Kariyappa Ed Suh FedML 245 6 0 21 Sep 2022
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer LearningGlobal Communications Conference (GLOBECOM), 2022 Feng Wang M. C. Gursoy Senem Velipasalar 223 3 0 12 Sep 2022
Predictive GAN-powered Multi-Objective Optimization for Hybrid Federated Split LearningIEEE Transactions on Communications (IEEE Trans. Commun.), 2022 Benshun Yin Zhiyong Chen M. Tao FedML 181 33 0 02 Sep 2022
Federated Learning of Large Models at the Edge via Principal Sub-Model Training Yue Niu Saurav Prakash Souvik Kundu Sunwoo Lee Salman Avestimehr FedML 221 18 0 28 Aug 2022
DPAUC: Differentially Private AUC Computation in Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2022 Jiankai Sun Xin Yang Yuanshun Yao Junyuan Xie Di Wu Chong-Jun Wang FedML 172 14 0 25 Aug 2022
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation H. Roth Ali Hatamizadeh Ziyue Xu Can Zhao Wenqi Li Andriy Myronenko Daguang Xu FedML 168 11 0 22 Aug 2022
Practical Vertical Federated Learning with Unsupervised Representation LearningIEEE Transactions on Big Data (TBD), 2022 Zhaomin Wu Yue Liu Bingsheng He FedML 153 54 0 13 Aug 2022
Privacy Safe Representation Learning via Frequency Filtering Encoder J. Jeong Minyong Cho Philipp Benz Jinwoo Hwang J. Kim Seungkwang Lee Tae-Hoon Kim 101 5 0 04 Aug 2022
Reconciling Security and Communication Efficiency in Federated LearningIEEE Data Engineering Bulletin (DEB), 2022 Karthik Prasad Sayan Ghosh Graham Cormode Ilya Mironov Ashkan Yousefpour Pierre Stock FedML 152 11 0 26 Jul 2022
C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split LearningInternational Workshop on Machine Learning for Signal Processing (MLSP), 2022 Cheng-Yen Hsieh Yu-Chuan Chuang An-Yeu A. Wu 157 11 0 25 Jul 2022
UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks Xiaoyuan Liu Tianneng Shi Chulin Xie Qinbin Li Kangping Hu ... The-Anh Vu-Le Zhen Huang Arash Nourian Yue Liu Basel Alomair FedML 217 9 0 21 Jul 2022
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM Chulin Xie Pin-Yu Chen Qinbin Li Arash Nourian Ce Zhang Bo Li FedML 225 18 0 20 Jul 2022
Study of the performance and scalability of federated learning for medical imaging with intermittent clientsNeurocomputing (Neurocomputing), 2022 Judith Sáinz-Pardo Díaz Á. García FedML OOD 124 56 0 18 Jul 2022
Visual Transformer Meets CutMix for Improved Accuracy, Communication Efficiency, and Data Privacy in Split Learning Sihun Baek Jihong Park Praneeth Vepakomma Ramesh Raskar M. Bennis Seong-Lyun Kim FedML 159 11 0 01 Jul 2022
Secure Forward Aggregation for Vertical Federated Neural Networks Shuowei Cai Di Chai Liu Yang Junxue Zhang Yilun Jin Leye Wang Kun Guo Kai Chen FedML 149 11 0 28 Jun 2022
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data Fangcheng Fu Huanran Xue Yong Cheng Yangyu Tao Tengjiao Wang FedML 188 71 0 16 Jun 2022
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning Meisam Hejazinia Dzmitry Huba Ilias Leontiadis Kiwan Maeng Mani Malek Luca Melis Ilya Mironov Milad Nasr Kaikai Wang Carole-Jean Wu FedML 212 8 0 07 Jun 2022
Distributed Machine Learning in D2D-Enabled Heterogeneous Networks: Architectures, Performance, and Open Challenges Zhipeng Cheng Xuwei Fan Minghui Liwang Ning Chen Xiaoyu Xia Xianbin Wang 119 0 0 04 Jun 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless SensingIEEE Journal on Selected Topics in Signal Processing (IEEE JSTSP), 2022 Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 259 518 0 01 Jun 2022
VFed-SSD: Towards Practical Vertical Federated Advertising Wenjie Li Qiaolin Xia Junfeng Deng Hao Cheng Jiangming Liu Kouying Xue Yong Cheng Shutao Xia FedML 206 9 0 31 May 2022
Mixed Federated Learning: Joint Decentralized and Centralized Learning S. Augenstein Andrew Straiton Hard Lin Ning K. Singhal Satyen Kale Kurt Partridge Rajiv Mathews FedML 158 8 0 26 May 2022
Differentially Private AUC Computation in Vertical Federated Learning Jiankai Sun Xin Yang Yuanshun Yao Junyuan Xie Di Wu Chong-Jun Wang FedML 145 5 0 24 May 2022
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 Yanfeng Guo P. Zhao OOD 259 29 0 20 May 2022
Federated learning: Applications, challenges and future directionsInternational Journal of Hybrid Intelligent Systems (IJHIS), 2022 Subrato Bharati Hossain Mondal Prajoy Podder V. B. Surya Prasath FedML 160 81 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 77 1 0 05 May 2022
Multi-Task Distributed Learning using Vision Transformer with Random Patch PermutationIEEE Transactions on Medical Imaging (IEEE TMI), 2022 Sangjoon Park Jong Chul Ye FedML MedIm 166 23 0 07 Apr 2022
Enabling All In-Edge Deep Learning: A Literature ReviewIEEE Access (IEEE Access), 2022 Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 233 35 0 07 Apr 2022
CDKT-FL: Cross-Device Knowledge Transfer using Proxy Dataset in Federated LearningEngineering applications of artificial intelligence (EAAI), 2022 Huy Q. Le Minh N. H. Nguyen Shashi Raj Pandey Chaoning Zhang Choong Seon Hong FedML 169 15 0 04 Apr 2022
MixNN: A design for protecting deep learning modelsItalian National Conference on Sensors (INS), 2022 Chao Liu Hao Chen Yusen Wu Rui Jin 155 0 0 28 Mar 2022
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based AlgorithmInternational Conference on Information and Knowledge Management (CIKM), 2021 Qingsong Zhang Bin Gu Zhiyuan Dang Cheng Deng Heng-Chiao Huang FedML 173 17 0 19 Mar 2022
Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive SurveyIEEE journal of biomedical and health informatics (IEEE JBHI), 2022 Mansoor Ali F. Naeem M. Tariq Georges Kaddoum 228 184 0 18 Mar 2022
SC2 Benchmark: Supervised Compression for Split Computing Yoshitomo Matsubara Ruihan Yang Marco Levorato Stephan Mandt 251 23 0 16 Mar 2022
Similarity-based Label Inference Attack against Training and Inference of Split LearningIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022 Junlin Liu Xinchen Lyu Qimei Cui Xiaofeng Tao FedML 209 35 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 207 13 0 08 Mar 2022