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
On Feasibility of Server-side Backdoor Attacks on Split Learning Behrad Tajalli Oguzhan Ersoy S. Picek FedML SILM 45 8 0 19 Feb 2023
SplitOut: Out-of-the-Box Training-Hijacking Detection in Split Learning via Outlier Detection Ege Erdogan Unat Teksen Mehmet Salih Celiktenyildiz Alptekin Kupcu A. E. Cicek 43 4 0 16 Feb 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques Wenbin Li Hakim Hacid Ebtesam Almazrouei Merouane Debbah 34 13 0 16 Feb 2023
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey Jiajun Wu Steve Drew Fan Dong Zhuangdi Zhu Jiayu Zhou FedML 50 46 0 06 Feb 2023
GAN-based Vertical Federated Learning for Label Protection in Binary Classification Yujin Han Leying Guan FedML 35 0 0 04 Feb 2023
Multi-limb Split Learning for Tumor Classification on Vertically Distributed Data Omar S. Ads Mayar M. Alfares Mohammed Abdel-Megeed Salem 24 10 0 27 Jan 2023
Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning Tanveer Khan Khoa Nguyen A. Michalas 17 18 0 20 Jan 2023
Label Inference Attack against Split Learning under Regression Setting Shangyu Xie Xin Yang Yuanshun Yao Tianyi Liu Taiqing Wang Jiankai Sun FedML 23 9 0 18 Jan 2023
Distributed Machine Learning for UAV Swarms: Computing, Sensing, and Semantics Yahao Ding Zhaohui Yang Viet Quoc Pham Zhaoyang Zhang M. Shikh-Bahaei 31 31 0 03 Jan 2023
SplitGP: Achieving Both Generalization and Personalization in Federated Learning Dong-Jun Han Do-Yeon Kim Minseok Choi Christopher G. Brinton Jaekyun Moon FedML 23 31 0 16 Dec 2022
Privacy-Preserving Collaborative Learning through Feature Extraction A. Sarmadi Hao Fu P. Krishnamurthy S. Garg Farshad Khorrami FedML 14 6 0 13 Dec 2022
PaDPaF: Partial Disentanglement with Partially-Federated GANs Abdulla Jasem Almansoori Samuel Horváth Martin Takáč FedML 23 0 0 07 Dec 2022
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning Mingyuan Fan Cen Chen Chengyu Wang Ximeng Liu Wenmeng Zhou Jun Huang AAML FedML 34 0 0 05 Dec 2022
PiPar: Pipeline Parallelism for Collaborative Machine Learning Zihan Zhang Philip Rodgers Peter Kilpatrick I. Spence Blesson Varghese FedML 37 3 0 01 Dec 2022
Split Learning without Local Weight Sharing to Enhance Client-side Data Privacy Ngoc Duy Pham Tran Dang Khoa Phan A. Abuadbba Yansong Gao Doan Nguyen Naveen Chilamkurti 28 5 0 01 Dec 2022
An Efficient Split Fine-tuning Framework for Edge and Cloud Collaborative Learning S. Shi Qing Yang Yang Xiang Shuhan Qi Xihuai Wang 15 1 0 30 Nov 2022
UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled Scenes Sunwook Hwang Youngseok Kim Seongwon Kim S. Bahk Hyung-Sin Kim 3DPC 26 3 0 22 Nov 2022
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges 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 26 221 0 15 Nov 2022
PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference Linshan Jiang Qun Song Rui Tan Mo Li 16 4 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 19 16 0 28 Oct 2022
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling Junyuan Hong Lingjuan Lyu Jiayu Zhou Michael Spranger SyDa 45 6 0 23 Oct 2022
A Survey on Over-the-Air Computation Alphan Șahin Rui Yang 31 76 0 20 Oct 2022
Protecting Split Learning by Potential Energy Loss Fei Zheng Chaochao Chen Lingjuan Lyu Xinyi Fu Xing Fu Weiqiang Wang Xiaolin Zheng Jianwei Yin 49 4 0 18 Oct 2022
Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning Peng Ye Zhifeng Jiang Wei Wang Bo-wen Li Baochun Li AAML FedML 37 15 0 13 Oct 2022
A Survey on Heterogeneous Federated Learning Dashan Gao Xin Yao Qian Yang FedML 27 58 0 10 Oct 2022
Split Federated Learning on Micro-controllers: A Keyword Spotting Showcase Jingtao Li Runcong Kuang FedML 14 3 0 04 Oct 2022
VFLens: Co-design the Modeling Process for Efficient Vertical Federated Learning via Visualization Y. Tian He Wang Laixin Xie Xiaojuan Ma Quan Li FedML 10 1 0 02 Oct 2022
Vertical Semi-Federated Learning for Efficient Online Advertising Wenjie Li Qiaolin Xia Hao Cheng Kouying Xue Shutao Xia FedML 36 14 0 30 Sep 2022
Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information Kiwan Maeng Chuan Guo Sanjay Kariyappa Ed Suh FedML 22 6 0 21 Sep 2022
Communication-Efficient and Privacy-Preserving Feature-based Federated Transfer Learning Feng Wang M. C. Gursoy Senem Velipasalar 14 2 0 12 Sep 2022
Predictive GAN-powered Multi-Objective Optimization for Hybrid Federated Split Learning Benshun Yin Zhiyong Chen M. Tao FedML 74 23 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 16 18 0 28 Aug 2022
DPAUC: Differentially Private AUC Computation in Federated Learning Jiankai Sun Xin Yang Yuanshun Yao Junyuan Xie Di Wu Chong-Jun Wang FedML 42 11 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 37 9 0 22 Aug 2022
Practical Vertical Federated Learning with Unsupervised Representation Learning Zhaomin Wu Yue Liu Bingsheng He FedML 30 37 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 20 3 0 04 Aug 2022
Reconciling Security and Communication Efficiency in Federated Learning Karthik Prasad Sayan Ghosh Graham Cormode Ilya Mironov Ashkan Yousefpour Pierre Stock FedML 30 8 0 26 Jul 2022
C3-SL: Circular Convolution-Based Batch-Wise Compression for Communication-Efficient Split Learning Cheng-Yen Hsieh Yu-Chuan Chuang An-Yeu A. Wu 23 7 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 Bo-wen Li D. Song FedML 24 8 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 27 16 0 20 Jul 2022
Study of the performance and scalability of federated learning for medical imaging with intermittent clients Judith Sáinz-Pardo Díaz Á. García FedML OOD 17 51 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 21 10 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 20 8 0 28 Jun 2022
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data Fangcheng Fu Huanran Xue Yong Cheng Yangyu Tao Bin Cui FedML 21 59 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 9 5 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 6 0 0 04 Jun 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 28 398 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 33 6 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 30 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 50 5 0 24 May 2022