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
Efficient Split Learning LSTM Models for FPGA-based Edge IoT Devices Romina Soledad Molina Vukan Ninkovic D. Vukobratović Maria Liz Crespo Marco Zennaro 179 2 0 12 Feb 2025
Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly Zhaomin Wu Zhen Qin Junyi Hou Haodong Zhao Qinbin Li Bingsheng He Lixin Fan FedML 245 2 0 12 Feb 2025
SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version)Network and Distributed System Security Symposium (NDSS), 2025 Phillip Rieger Alessandro Pegoraro Kavita Kumari Tigist Abera Jonathan Knauer A. Sadeghi AAML 401 5 0 11 Jan 2025
Navigating the Designs of Privacy-Preserving Fine-tuning for Large Language ModelsThe Web Conference (WWW), 2025 Haonan Shi Tu Ouyang An Wang 362 0 0 08 Jan 2025
The Impact of Cut Layer Selection in Split Federated Learning Justin Dachille Chao Huang Xin Liu FedML 266 1 0 20 Dec 2024
Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and OptimizationIEEE Wireless Communications and Networking Conference (WCNC), 2024 Yunrui Sun Gang Hu Yinglei Teng Dunbo Cai FedML 159 2 0 21 Nov 2024
Model Partition and Resource Allocation for Split Learning in Vehicular Edge Networks Lu Yu Zheng Chang Yunjian Jia Geyong Min 206 2 0 11 Nov 2024
Personalized Hierarchical Split Federated Learning in Wireless Networks Md Ferdous Pervej Andreas F. Molisch 250 0 0 09 Nov 2024
Federated Black-Box Adaptation for Semantic SegmentationNeural Information Processing Systems (NeurIPS), 2024 Jay N. Paranjape S. Sikder S. Vedula Vishal M. Patel FedML 221 1 0 31 Oct 2024
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked DataNeural Information Processing Systems (NeurIPS), 2024 Zhaomin Wu Junyi Hou Yiqun Diao Bingsheng He FedML 173 7 0 23 Oct 2024
LPUF-AuthNet: A Lightweight PUF-Based IoT Authentication via Tandem Neural Networks and Split Learning Brahim Mefgouda Raviha Khan Omar Alhussein Hani Saleh Hossien B. Eldeeb Anshul Pandey Sami Muhaidat 72 1 0 16 Oct 2024
Training on Fake Labels: Mitigating Label Leakage in Split Learning via Secure Dimension Transformation Yukun Jiang Peiran Wang Chengguo Lin Ziyue Huang Yong Cheng 215 2 0 11 Oct 2024
Edge AI Collaborative Learning: Bayesian Approaches to Uncertainty Estimation Gleb I. Radchenko Victoria Andrea Fill 188 0 0 11 Oct 2024
ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity IssuesACM/IEEE International Conference on Mobile Computing and Networking (MobiCom), 2024 Yunming Liao Yang Xu Hongli Xu Zhiwei Yao Liusheng Huang C. Qiao FedML 237 17 0 02 Oct 2024
One Node Per User: Node-Level Federated Learning for Graph Neural Networks Zhidong Gao Yuanxiong Guo Yanmin Gong FedML 107 1 0 29 Sep 2024
HSTFL: A Heterogeneous Federated Learning Framework for Misaligned Spatiotemporal Forecasting Shuowei Cai Hao Liu AI4TS 136 1 0 27 Sep 2024
A Hybrid Quantum Neural Network for Split LearningQuantum Machine Intelligence (QMI), 2024 Hevish Cowlessur Chandra Thapa T. Alpcan S. Çamtepe 246 4 0 25 Sep 2024
SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problemsBigData Congress [Services Society] (BSS), 2024 H M Mohaimanul Islam Huynh Q. N. Vo P. Ramanan 199 2 0 18 Sep 2024
An Efficient Privacy-aware Split Learning Framework for Satellite CommunicationsIEEE Journal on Selected Areas in Communications (JSAC), 2024 Jianfei Sun Cong Wu Shahid Mumtaz Junyi Tao Mingsheng Cao Mei Wang Valerio Frascolla 202 14 0 13 Sep 2024
$S^2$ NeRF: Privacy-preserving Training Framework for NeRFConference on Computer and Communications Security (CCS), 2024 Bokang Zhang Yanglin Zhang Zhikun Zhang Jinglan Yang Lingying Huang Junfeng Wu 207 3 0 03 Sep 2024
Unveiling the Vulnerability of Private Fine-Tuning in Split-Based Frameworks for Large Language Models: A Bidirectionally Enhanced AttackConference on Computer and Communications Security (CCS), 2024 Guanzhong Chen Zhiqiang Shen Mingxin Yang Yajie Zhou Tao Fan Tianyu Du Zenglin Xu AAML 349 13 0 02 Sep 2024
Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split LearningEuropean Conference on Artificial Intelligence (ECAI), 2024 Wenxuan Zhou Zhihao Qu Shen-Huan Lyu Miao Cai Baoliu Ye 279 0 0 25 Aug 2024
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix Yang Jin Sihun Baek Lei Zhang Hyelin Nam Praneeth Vepakomma Ramesh Raskar Mehdi Bennis Seong-Lyun Kim 230 5 0 02 Aug 2024
Model Agnostic Hybrid Sharding For Heterogeneous Distributed Inference Claudio Angione Yue Zhao Harry Yang Ahmad Farhan Fielding Johnston James Buban Patrick Colangelo 201 1 0 29 Jul 2024
Complete Security and Privacy for AI Inference in Decentralized Systems Hongyang Zhang Yue Zhao Claudio Angione Harry Yang James Buban Ahmad Farhan Fielding Johnston Patrick Colangelo 97 0 0 28 Jul 2024
SFPrompt: Communication-Efficient Split Federated Fine-Tuning for Large Pre-Trained Models over Resource-Limited Devices Linxiao Cao Yifei Zhu Wei Gong FedML 170 5 0 24 Jul 2024
Parallel Split Learning with Global Sampling Mohammad Kohankhaki Ahmad Ayad Mahdi Barhoush A. Schmeink 254 2 0 22 Jul 2024
FedsLLM: Federated Split Learning for Large Language Models over Communication Networks Kai Zhao Zhaohui Yang Chongwen Huang Xiaoming Chen Zhaoyang Zhang 121 7 0 12 Jul 2024
CURE: Privacy-Preserving Split Learning Done Right Halil Ibrahim Kanpak Aqsa Shabbir Esra Genç Alptekin Küpçü Sinem Sav 182 2 0 12 Jul 2024
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey Guanqiao Qu Qiyuan Chen Wei Wei Zheng Lin Xianhao Chen Kaibin Huang 473 134 0 09 Jul 2024
MSfusion: A Dynamic Model Splitting Approach for Resource-Constrained Machines to Collaboratively Train Larger Models Jin Xie Songze Li FedML 162 0 0 04 Jul 2024
UAV-assisted Distributed Learning for Environmental Monitoring in Rural Environments Vukan Ninkovic D. Vukobratović D. Mišković 133 6 0 02 Jul 2024
SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models Zheng Lin Xuanjie Hu Yuxin Zhang Zhe Chen Zihan Fang Xianhao Chen Ang Li Praneeth Vepakomma Yue Gao 216 60 0 01 Jul 2024
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions Laiqiao Qin Tianqing Zhu Wanlei Zhou Philip S. Yu 185 16 0 16 Jun 2024
Time-Series JEPA for Predictive Remote Control under Capacity-Limited Networks Abanoub M. Girgis Álvaro Valcarce Mehdi Bennis AI4TS 171 5 0 07 Jun 2024
Non-Federated Multi-Task Split Learning for Heterogeneous Sources Yilin Zheng A. Eryilmaz FedML 202 0 0 31 May 2024
Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning Aditya Shankar Lydia Y. Chen Jérémie Decouchant Dimitra Gkorou Rihan Hai FedML 268 1 0 31 May 2024
Optimizing Split Points for Error-Resilient SplitFed Learning C. Shiranthika Parvaneh Saeedi Ivan V. Bajić 125 3 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 135 10 0 29 May 2024
Adaptive and Parallel Split Federated Learning in Vehicular Edge Computing Xianke Qiang Zheng Chang Yun Hu Lei Liu Timo Hämäläinen 191 13 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 199 3 0 27 May 2024
eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels Alexander C. DeRieux Walid Saad 350 2 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 142 0 0 22 May 2024
Cyclical Weight Consolidation: Towards Solving Catastrophic Forgetting in Serial Federated Learning Haoyue Song Jiacheng Wang Liansheng Wang 143 1 0 17 May 2024
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and PrivacyIEEE Transactions on Machine Learning in Communications and Networking (IEEE TMLCN), 2024 Feng Wang M. C. Gursoy Senem Velipasalar 211 3 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 167 8 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 168 16 0 07 May 2024
WDMoE: Wireless Distributed Large Language Models with Mixture of ExpertsGlobal Communications Conference (GLOBECOM), 2024 Nan Xue Yaping Sun Zhiyong Chen Meixia Tao Xiaodong Xu Liang Qian Shuguang Cui Ping Zhang MoE 138 18 0 06 May 2024
Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning Seyed Mahmoud Sajjadi Mohammadabadi Lei Yang Feng Yan Junshan Zhang 172 16 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 178 1 0 01 May 2024