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 Taxonomy of Attacks and Defenses in Split Learning Aqsa Shabbir Halil Ibrahim Kanpak Alptekin Küpçü Sinem Sav 43 0 0 09 May 2025
HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models Zheng Lin Yuxin Zhang Zhe Chen Zihan Fang Xianhao Chen Praneeth Vepakomma Wei Ni Jun-Jie Luo Yue Gao MoE 41 2 0 05 May 2025
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks Yang Janet Liu Bingjie Yan Tianyuan Zou Jianqing Zhang Zixuan Gu ... J. Li Xiaozhou Ye Ye Ouyang Qiang Yang Wenjie Qu ALM 155 1 0 24 Apr 2025
OPUS-VFL: Incentivizing Optimal Privacy-Utility Tradeoffs in Vertical Federated Learning Sindhuja Madabushi A. Khan Haider Ali Jin-Hee Cho FedML VLM 34 0 0 22 Apr 2025
Collaborative Split Federated Learning with Parallel Training and Aggregation Yiannis Papageorgiou Yannis Thomas Alexios Filippakopoulos Ramin Khalili Iordanis Koutsopoulos FedML 39 0 0 22 Apr 2025
Efficient Federated Split Learning for Large Language Models over Communication Networks Kai Zhao Zhaohui Yang 35 0 0 20 Apr 2025
Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP L. Zhang Yue Li AI4CE 27 1 0 13 Apr 2025
FedFeat+: A Robust Federated Learning Framework Through Federated Aggregation and Differentially Private Feature-Based Classifier Retraining Mrityunjoy Gain Kitae Kim Avi Deb Raha Apurba Adhikary Eui-nam Huh Zhu Han Choong Seon Hong FedML 31 0 0 08 Apr 2025
MedSegNet10: A Publicly Accessible Network Repository for Split Federated Medical Image Segmentation C. Shiranthika Zahra Hafezi Kafshgari Hadi Hadizadeh Parvaneh Saeedi FedML 45 0 0 26 Mar 2025
Scaling Probabilistic Circuits via Data Partitioning Jonas Seng Florian Peter Busch P. Prasad D. Dhami Martin Mundt Kristian Kersting TPM FedML 78 0 0 11 Mar 2025
ConcreTizer: Model Inversion Attack via Occupancy Classification and Dispersion Control for 3D Point Cloud Restoration Youngseok Kim Sunwook Hwang Hyung-Sin Kim S. Bahk DiffM 3DPC 54 0 0 10 Mar 2025
Adversarial Example Based Fingerprinting for Robust Copyright Protection in Split Learning Zhangting Lin Mingfu Xue Kewei Chen Wei Liu Xiang Gao L. Zhang Jian Wang Yushu Zhang 52 0 0 05 Mar 2025
Split Adaptation for Pre-trained Vision Transformers Lixu Wang Bingqi Shang Y. Li Payal Mohapatra Wei Dong Xiao-Xu Wang Qi Zhu ViT 43 0 0 01 Mar 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems Song Xia Yi Yu Wenhan Yang Meiwen Ding Zhuo Chen Lingyu Duan Alex C. Kot Xudong Jiang 56 2 0 01 Mar 2025
Forgetting Any Data at Any Time: A Theoretically Certified Unlearning Framework for Vertical Federated Learning Linian Wang Leye Wang MU 44 1 0 24 Feb 2025
Towards Active Participant Centric Vertical Federated Learning: Some Representations May Be All You Need Jon Irureta Jon Imaz Aizea Lojo Javier Fernandez-Marques Marco González Iñigo Perona FedML 87 1 0 20 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 71 2 0 12 Feb 2025
Efficient Split Learning LSTM Models for FPGA-based Edge IoT Devices Romina Soledad Molina Vukan Ninkovic D. Vukobratović Maria Liz Crespo Marco Zennaro 40 0 0 12 Feb 2025
SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version) Phillip Rieger Alessandro Pegoraro Kavita Kumari Tigist Abera Jonathan Knauer A. Sadeghi AAML 48 2 0 11 Jan 2025
Navigating the Designs of Privacy-Preserving Fine-tuning for Large Language Models Haonan Shi Tu Ouyang An Wang 31 0 0 08 Jan 2025
The Impact of Cut Layer Selection in Split Federated Learning Justin Dachille Chao Huang Xin Liu FedML 83 0 0 20 Dec 2024
Split Federated Learning Over Heterogeneous Edge Devices: Algorithm and Optimization Yunrui Sun Gang Hu Yinglei Teng Dunbo Cai FedML 67 0 0 21 Nov 2024
Model Partition and Resource Allocation for Split Learning in Vehicular Edge Networks Lu Yu Zheng Chang Yunjian Jia Geyong Min 30 1 0 11 Nov 2024
Personalized Hierarchical Split Federated Learning in Wireless Networks Md Ferdous Pervej Andreas F. Molisch 26 0 0 09 Nov 2024
Federated Black-Box Adaptation for Semantic Segmentation Jay N. Paranjape S. Sikder S. Vedula Vishal M. Patel FedML 32 0 0 31 Oct 2024
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data Zhaomin Wu Junyi Hou Yiqun Diao Bingsheng He FedML 37 3 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 16 0 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 26 0 0 11 Oct 2024
Edge AI Collaborative Learning: Bayesian Approaches to Uncertainty Estimation Gleb I. Radchenko Victoria Andrea Fill 26 0 0 11 Oct 2024
ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity Issues Yunming Liao Yang Xu Hongli Xu Zhiwei Yao Liusheng Huang C. Qiao FedML 39 5 0 02 Oct 2024
One Node Per User: Node-Level Federated Learning for Graph Neural Networks Zhidong Gao Yuanxiong Guo Yanmin Gong FedML 15 0 0 29 Sep 2024
HSTFL: A Heterogeneous Federated Learning Framework for Misaligned Spatiotemporal Forecasting Shuowei Cai Hao Liu AI4TS 21 1 0 27 Sep 2024
A Hybrid Quantum Neural Network for Split Learning Hevish Cowlessur Chandra Thapa T. Alpcan S. Çamtepe 32 0 0 25 Sep 2024
SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems H M Mohaimanul Islam Huynh Q. N. Vo P. Ramanan 24 0 0 18 Sep 2024
An Efficient Privacy-aware Split Learning Framework for Satellite Communications Jianfei Sun Cong Wu Shahid Mumtaz Junyi Tao Mingsheng Cao Mei Wang Valerio Frascolla 34 5 0 13 Sep 2024
$S^2$ NeRF: Privacy-preserving Training Framework for NeRF Bokang Zhang Yanglin Zhang Zhikun Zhang Jinglan Yang Lingying Huang Junfeng Wu 51 2 0 03 Sep 2024
Unveiling the Vulnerability of Private Fine-Tuning in Split-Based Frameworks for Large Language Models: A Bidirectionally Enhanced Attack Guanzhong Chen Zhenghan Qin Mingxin Yang Yajie Zhou Tao Fan Tianyu Du Zenglin Xu AAML 53 4 0 02 Sep 2024
Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split Learning Wenxuan Zhou Zhihao Qu Shen-Huan Lyu Miao Cai Baoliu Ye 40 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 36 2 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 42 1 0 29 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 20 2 0 24 Jul 2024
Parallel Split Learning with Global Sampling Mohammad Kohankhaki Ahmad Ayad Mahdi Barhoush A. Schmeink 35 1 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 27 2 0 12 Jul 2024
CURE: Privacy-Preserving Split Learning Done Right Halil Ibrahim Kanpak Aqsa Shabbir Esra Genç Alptekin Küpçü Sinem Sav 24 0 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 42 43 0 09 Jul 2024
MSfusion: A Dynamic Model Splitting Approach for Resource-Constrained Machines to Collaboratively Train Larger Models Jin Xie Songze Li FedML 36 0 0 04 Jul 2024
UAV-assisted Distributed Learning for Environmental Monitoring in Rural Environments Vukan Ninkovic D. Vukobratović D. Mišković 29 3 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 41 31 0 01 Jul 2024
Time-Series JEPA for Predictive Remote Control under Capacity-Limited Networks Abanoub M. Girgis Álvaro Valcarce Mehdi Bennis AI4TS 18 3 0 07 Jun 2024
Non-Federated Multi-Task Split Learning for Heterogeneous Sources Yilin Zheng A. Eryilmaz FedML 30 0 0 31 May 2024