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
Share Your Secrets for Privacy! Confidential Forecasting with Vertical Federated Learning Aditya Shankar Lydia Y. Chen Jérémie Decouchant Dimitra Gkorou Rihan Hai FedML 24 1 0 31 May 2024
Optimizing Split Points for Error-Resilient SplitFed Learning C. Shiranthika Parvaneh Saeedi Ivan V. Bajić 27 1 0 29 May 2024
PermLLM: Private Inference of Large Language Models within 3 Seconds under WAN Fei Zheng Chaochao Chen Zhongxuan Han Xiaolin Zheng LRM 37 4 0 29 May 2024
Adaptive and Parallel Split Federated Learning in Vehicular Edge Computing Xianke Qiang Zheng Chang Yun Hu Lei Liu Timo Hämäläinen 30 2 0 29 May 2024
LabObf: A Label Protection Scheme for Vertical Federated Learning Through Label Obfuscation Ying He Mingyang Niu Jingyu Hua Yunlong Mao Xu Huang Chen Li Sheng Zhong FedML 49 0 0 27 May 2024
eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels Alexander C. DeRieux Walid Saad 46 1 0 24 May 2024
Task-agnostic Decision Transformer for Multi-type Agent Control with Federated Split Training Zhiyuan Wang Bokui Chen Xiaoyang Qu Zhenhou Hong Jing Xiao Jianzong Wang 37 0 0 22 May 2024
Cyclical Weight Consolidation: Towards Solving Catastrophic Forgetting in Serial Federated Learning Haoyue Song Jiacheng Wang Liansheng Wang 19 0 0 17 May 2024
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy Feng Wang M. C. Gursoy Senem Velipasalar 43 0 0 15 May 2024
CRSFL: Cluster-based Resource-aware Split Federated Learning for Continuous Authentication M. Wazzeh Mohamad Arafeh Hani Sami Hakima Ould-Slimane C. Talhi Azzam Mourad Hadi Otrok FedML 26 3 0 12 May 2024
A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning Xiaoyang Xu Mengda Yang Wenzhe Yi Ziang Li Juan Wang Hongxin Hu Yong Zhuang Yaxin Liu AAML 26 4 0 07 May 2024
WDMoE: Wireless Distributed Large Language Models with Mixture of Experts Nan Xue Yaping Sun Zhiyong Chen Meixia Tao Xiaodong Xu Liang Qian Shuguang Cui Ping Zhang MoE 31 9 0 06 May 2024
Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning Seyed Mahmoud Sajjadi Mohammadabadi Lei Yang Feng Yan Junshan Zhang 39 5 0 01 May 2024
PackVFL: Efficient HE Packing for Vertical Federated Learning Liu Yang Shuowei Cai Di Chai Junxue Zhang Han Tian Yilun Jin Kun Guo Kai Chen Qiang Yang FedML 27 1 0 01 May 2024
TabVFL: Improving Latent Representation in Vertical Federated Learning Mohamed Rashad Zilong Zhao Jérémie Decouchant Lydia Y. Chen FedML 34 0 0 27 Apr 2024
Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing Liekang Zeng Shengyuan Ye Xu Chen Yang Yang 29 11 0 27 Apr 2024
SECO: Secure Inference With Model Splitting Across Multi-Server Hierarchy Shuangyi Chen Ashish Khisti 18 2 0 24 Apr 2024
Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models Zihan Fang Zheng Lin Zhe Chen Xianhao Chen Yue Gao Yuguang Fang 54 35 0 09 Apr 2024
Generalized Policy Learning for Smart Grids: FL TRPO Approach Yunxiang Li Nicolas Mauricio Cuadrado Samuel Horváth Martin Takáč 30 0 0 27 Mar 2024
Empowering Data Mesh with Federated Learning Haoyuan Li Salman Toor AI4CE 22 1 0 26 Mar 2024
Distributed collaborative anomalous sound detection by embedding sharing Kota Dohi Y. Kawaguchi FedML 11 2 0 25 Mar 2024
Heterogeneous Federated Learning with Splited Language Model Yifan Shi Yuhui Zhang Ziyue Huang Xiaofeng Yang Li Shen Wei Chen Xueqian Wang FedML 34 1 0 24 Mar 2024
TablePuppet: A Generic Framework for Relational Federated Learning Lijie Xu Chulin Xie Yiran Guo Gustavo Alonso Bo-wen Li Guoliang Li Wei Wang Wentao Wu Ce Zhang FedML 39 0 0 23 Mar 2024
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures S. V. Dibbo Adam Breuer Juston S. Moore Michael Teti AAML 41 4 0 21 Mar 2024
AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks Zhengyi Lin Guanqiao Qu Wei Wei Xianhao Chen Kin K. Leung 56 48 0 19 Mar 2024
Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load Forecasting Asif Iqbal P. Gope Biplab Sikdar 28 1 0 03 Mar 2024
ESFL: Efficient Split Federated Learning over Resource-Constrained Heterogeneous Wireless Devices Guangyu Zhu Yiqin Deng Xianhao Chen Haixia Zhang Yuguang Fang Tan F. Wong FedML 11 6 0 24 Feb 2024
NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learning Dhananjay Saikumar Blesson Varghese 24 1 0 21 Feb 2024
Workflow Optimization for Parallel Split Learning Joana Tirana Dimitra Tsigkari Georgios Iosifidis Dimitris Chatzopoulos 19 4 0 01 Feb 2024
MP-SL: Multihop Parallel Split Learning Joana Tirana S. Lalis Dimitris Chatzopoulos 32 3 0 31 Jan 2024
AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis Kebin Wu Wenbin Li Xiaofei Xiao 21 3 0 05 Jan 2024
AIJack: Let's Hijack AI! Security and Privacy Risk Simulator for Machine Learning Hideaki Takahashi SILM 35 2 0 29 Dec 2023
Holonic Learning: A Flexible Agent-based Distributed Machine Learning Framework Ahmad Esmaeili Zahra Ghorrati Eric T. Matson 20 1 0 29 Dec 2023
A Split-and-Privatize Framework for Large Language Model Fine-Tuning Xicong Shen Yang Liu Huiqi Liu Jue Hong Bing Duan Zirui Huang Yunlong Mao Ye Wu Di Wu 67 11 0 25 Dec 2023
ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection Kai Huang Boyuan Yang Wei Gao 32 18 0 21 Dec 2023
MISA: Unveiling the Vulnerabilities in Split Federated Learning Wei Wan Yuxuan Ning Shengshan Hu Lulu Xue Minghui Li Leo Yu Zhang Hai Jin 14 3 0 18 Dec 2023
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach Seyed Mahmoud Sajjadi Mohammadabadi Syed Zawad Feng Yan Lei Yang FedML 27 7 0 09 Dec 2023
All Rivers Run to the Sea: Private Learning with Asymmetric Flows Yue Niu Ramy E. Ali Saurav Prakash Salman Avestimehr FedML 28 2 0 05 Dec 2023
MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation Yunming Liao Yang Xu Hong-Ze Xu Lun Wang Zhiwei Yao C. Qiao FedML MoMe 38 10 0 22 Nov 2023
Have Your Cake and Eat It Too: Toward Efficient and Accurate Split Federated Learning Dengke Yan Ming Hu Zeke Xia Yanxin Yang Jun Xia Xiaofei Xie Mingsong Chen FedML 13 5 0 22 Nov 2023
ECLM: Efficient Edge-Cloud Collaborative Learning with Continuous Environment Adaptation Zhuang Yan Zhenzhe Zheng Yunfeng Shao Bingshuai Li Fan Wu Guihai Chen 25 3 0 18 Nov 2023
AccEPT: An Acceleration Scheme for Speeding Up Edge Pipeline-parallel Training Yuhao Chen Yuxuan Yan Qianqian Yang Yuanchao Shu Shibo He Zhiguo Shi Jiming Chen 37 0 0 10 Nov 2023
Edge-assisted U-Shaped Split Federated Learning with Privacy-preserving for Internet of Things Hengliang Tang Zihang Zhao Detian Liu Yang Cao Shiqiang Zhang Siqing You 23 1 0 08 Nov 2023
Input Reconstruction Attack against Vertical Federated Large Language Models Fei Zheng FedML 27 6 0 07 Nov 2023
Weighted Sampled Split Learning (WSSL): Balancing Privacy, Robustness, and Fairness in Distributed Learning Environments Manish Osti Aashray Thakuri Basheer Qolomany Aos Mulahuwaish 23 0 0 27 Oct 2023
Accelerating Split Federated Learning over Wireless Communication Networks Ce Xu Jinxuan Li Yuan Liu Yushi Ling Miaowen Wen FedML 25 23 0 24 Oct 2023
CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model Kaiyan Zhang Ning Ding Biqing Qi Xuekai Zhu Xinwei Long Bowen Zhou 46 4 0 24 Oct 2023
FedSplitX: Federated Split Learning for Computationally-Constrained Heterogeneous Clients Jiyun Shin Jinhyun Ahn Honggu Kang Joonhyuk Kang FedML 65 6 0 23 Oct 2023
Enhancing Accuracy-Privacy Trade-off in Differentially Private Split Learning Ngoc Duy Pham K. Phan Naveen Chilamkurti 24 3 0 22 Oct 2023
Effective and Efficient Federated Tree Learning on Hybrid Data Qinbin Li Chulin Xie Xiaojun Xu Xiaoyuan Liu Ce Zhang Bo-wen Li Bingsheng He D. Song FedML 21 3 0 18 Oct 2023