Papers citing 'Split learning for health: Distributed deep learning without sharing raw patient data'

Title
Primal: A Unified Deterministic Framework for Quasi-Orthogonal Hashing and Manifold Learning Vladimer Khasia 62 0 0 25 Nov 2025
Aspiration-based Perturbed Learning Automata in Games with Noisy Utility Measurements. Part B: Stochastic Stability in Weakly Acyclic GamesEuropean Control Conference (ECC), 2018 Georgios C. Chasparis 101 0 0 23 Nov 2025
Sigil: Server-Enforced Watermarking in U-Shaped Split Federated Learning via Gradient Injection Zhengchunmin Dai Jiaxiong Tang Peng Sun Honglong Chen Liantao Wu AAML 139 0 0 18 Nov 2025
SMoFi: Step-wise Momentum Fusion for Split Federated Learning on Heterogeneous Data Mingkun Yang Ran Zhu Qing Wang Jie Yang FedML 327 0 0 13 Nov 2025
Verifiable Split Learning via zk-SNARKs Rana Alaa Darío González-Ferreiro Carlos Beis-Penedo Manuel Fernández-Veiga R. Redondo Ana Fernández-Vilas 171 0 0 03 Nov 2025
Split Learning-Enabled Framework for Secure and Light-weight Internet of Medical Things Systems Siva Sai Manish Prasad Animesh Bhargava Vinay Chamola Rajkumar Buyya 65 0 0 01 Nov 2025
Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach Dandan Liang Jianing Zhang Evan Chen Zhe Li Rui Li Haibo Yang FedML 166 0 0 24 Oct 2025
CO-PFL: Contribution-Oriented Personalized Federated Learning for Heterogeneous Networks Ke Xing Yanjie Dong Xiaoyi Fan Runhao Zeng Victor C. M. Leung M. Jamal Deen Xiping Hu FedML 128 0 0 23 Oct 2025
PrivaDE: Privacy-preserving Data Evaluation for Blockchain-based Data Marketplaces Wan Ki Wong Sahel Torkamani Michele Ciampi Rik Sarkar 88 0 0 20 Oct 2025
BlendFL: Blended Federated Learning for Handling Multimodal Data Heterogeneity Alejandro Guerra-Manzanares Omar El-Herraoui Michail Maniatakos Farah E. Shamout 108 0 0 15 Oct 2025
RockNet: Distributed Learning on Ultra-Low-Power DevicesACM Transactions on Cyber-Physical Systems (TCPS), 2025 Alexander Gräfe Fabian Mager Marco Zimmerling Sebastian Trimpe 127 0 0 15 Oct 2025
Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice Kevin Kuo Chhavi Yadav Virginia Smith FedML 156 0 0 14 Oct 2025
Federated Learning with Enhanced Privacy via Model Splitting and Random Client Participation Yiwei Li Shuai Wang Zhuojun Tian X. Wang Shijian Su FedML 84 0 0 30 Sep 2025
Enhancing Split Learning with Sharded and Blockchain-Enabled SplitFed Approaches Amirreza Sokhankhosh Khalid Hassan Sara Rouhani FedML 96 0 0 29 Sep 2025
Communication-Efficient and Interoperable Distributed Learning Mounssif Krouka M. Bennis FedML 83 0 0 26 Sep 2025
Functional Encryption in Secure Neural Network Training: Data Leakage and Practical Mitigations Alexandru Ioniţă Andreea Ioniţă FedML 76 0 0 25 Sep 2025
ZORRO: Zero-Knowledge Robustness and Privacy for Split Learning (Full Version) Nojan Sheybani Alessandro Pegoraro Jonathan Knauer Phillip Rieger Elissa Mollakuqe F. Koushanfar A. Sadeghi 83 0 0 11 Sep 2025
Flexible Personalized Split Federated Learning for On-Device Fine-Tuning of Foundation Models Tianjun Yuan Jiaxiang Geng Pengchao Han Xianhao Chen Bing Luo 139 1 0 14 Aug 2025
SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Dung T. Tran Nguyen B. Ha Van-Dinh Nguyen Kok-Seng Wong FedML 100 0 0 11 Aug 2025
X-VFL: A New Vertical Federated Learning Framework with Cross Completion and Decision Subspace Alignment Qinghua Yao Xiangrui Xu Zhize Li FedML 76 0 0 07 Aug 2025
VFLAIR-LLM: A Comprehensive Framework and Benchmark for Split Learning of LLMs Zixuan Gu Qiufeng Fan Long Sun Yang Liu Xiaojun Ye 97 0 0 05 Aug 2025
Pigeon-SL: Robust Split Learning Framework for Edge Intelligence under Malicious Clients Sangjun Park Tony Q.S. Quek Hyowoon Seo AAML 80 0 0 04 Aug 2025
VGS-ATD: Robust Distributed Learning for Multi-Label Medical Image Classification Under Heterogeneous and Imbalanced Conditions Zehui Zhao Laith Alzubaidi Haider A.Alwzwazy Jinglan Zhang Yuantong T. Gu OOD FedML 184 0 0 23 Jul 2025
P3SL: Personalized Privacy-Preserving Split Learning on Heterogeneous Edge DevicesInternational Conference on Computer Communications and Networks (ICCCN), 2025 Wei Fan JinYi Yoon Xiaochang Li Huajie Shao Bo Ji 146 1 0 23 Jul 2025
Federated Split Learning with Improved Communication and Storage EfficiencyIEEE Transactions on Mobile Computing (IEEE TMC), 2025 Yujia Mu Cong Shen FedML 113 1 0 21 Jul 2025
MedSegNet10: A Publicly Accessible Network Repository for Split Federated Medical Image Segmentation C. Shiranthika Zahra Hafezi Kafshgari Hadi Hadizadeh Parvaneh Saeedi FedML 265 0 0 01 Jul 2025
TriCon-SF: A Triple-Shuffle and Contribution-Aware Serial Federated Learning Framework for Heterogeneous Healthcare Data Yuping Yan Yizhi Wang Yuanshuai Li Yaochu Jin FedML 151 0 0 20 Jun 2025
Event-Driven Online Vertical Federated LearningInternational Conference on Learning Representations (ICLR), 2025 Ganyu Wang Boyu Wang Bin Gu Charles Ling 194 1 0 17 Jun 2025
ReinDSplit: Reinforced Dynamic Split Learning for Pest Recognition in Precision Agriculture Vishesh Kumar Tanwar Soumik Sarkar Asheesh Kumar Singh Sajal K. Das 93 2 0 16 Jun 2025
Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform Jay Roberts Kyle Mylonakis Sidhartha Roy Kaan Kale 178 0 0 11 Jun 2025
HASFL: Heterogeneity-aware Split Federated Learning over Edge Computing Systems Zheng Lin Zhe Chen Xianhao Chen Wei Ni Yue Gao FedML 183 9 0 10 Jun 2025
LADSG: Label-Anonymized Distillation and Similar Gradient Substitution for Label Privacy in Vertical Federated Learning Zeyu Yan Yifei Yao Xuanbing Wen Shixiong Zhang Juli Zhang Kai Fan AAML 245 0 0 07 Jun 2025
FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation Srijith Nair Michael Lin Amirreza Talebi Peizhong Ju Elizabeth S. Bentley Jia Liu FedML 161 0 0 29 May 2025
Multimodal Federated Learning: A Survey through the Lens of Different FL Paradigms Yuanzhe Peng Jieming Bian Lei Wang Yin Huang Jie Xu 183 0 0 27 May 2025
Integration of TinyML and LargeML: A Survey of 6G and Beyond Thai-Hoc Vu Ngo Hoang Tu Thien Huynh-The Kyungchun Lee Sunghwan Kim Miroslav Voznak Quoc-Viet Pham 222 1 0 20 May 2025
A Taxonomy of Attacks and Defenses in Split Learning Aqsa Shabbir Halil Ibrahim Kanpak Alptekin Küpçü Sinem Sav 422 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 Luo Yue Gao MoE 340 16 0 05 May 2025
Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks Yang Liu Bingjie Yan Tianyuan Zou Jianqing Zhang Zixuan Gu ... Jiajian Li Xiaozhou Ye Ye Ouyang Qiang Yang Yanzhe Zhang ALM 970 2 0 24 Apr 2025
Collaborative Split Federated Learning with Parallel Training and AggregationArtificial Intelligence Applications and Innovations (AIAI), 2025 Yiannis Papageorgiou Yannis Thomas Alexios Filippakopoulos Ramin Khalili Iordanis Koutsopoulos FedML 160 1 0 22 Apr 2025
OPUS-VFL: Incentivizing Optimal Privacy-Utility Tradeoffs in Vertical Federated Learning Sindhuja Madabushi A. Khan Haider Ali Jin-Hee Cho FedML VLM 360 0 0 22 Apr 2025
Efficient Split Federated Learning for Large Language Models over Communication Networks Kai Zhao Zhaohui Yang Ye Hu Mingzhe Chen Chen Zhu Zhaoyang Zhang 253 0 0 20 Apr 2025
Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP L. Zhang Yue Li AI4CE 170 4 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 233 1 0 08 Apr 2025
Scaling Probabilistic Circuits via Data PartitioningConference on Uncertainty in Artificial Intelligence (UAI), 2025 Jonas Seng Florian Peter Busch P. Prasad Devendra Singh Dhami Martin Mundt Kristian Kersting TPM FedML 307 0 0 11 Mar 2025
ConcreTizer: Model Inversion Attack via Occupancy Classification and Dispersion Control for 3D Point Cloud RestorationInternational Conference on Learning Representations (ICLR), 2025 Youngseok Kim Sunwook Hwang Hyung-Sin Kim S. Bahk DiffM 3DPC 203 1 0 10 Mar 2025
Adversarial Example Based Fingerprinting for Robust Copyright Protection in Split Learning Zhangting Lin Mingfu Xue Kewei Chen Wen Liu Xiang Gao L. Zhang Jian Wang Yushu Zhang 208 0 0 05 Mar 2025
Split Adaptation for Pre-trained Vision TransformersComputer Vision and Pattern Recognition (CVPR), 2025 Lixu Wang Bingqi Shang Yuchen Ren Payal Mohapatra Wei Dong Xiao-Xu Wang Qi Zhu ViT 313 2 0 01 Mar 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference SystemsComputer Vision and Pattern Recognition (CVPR), 2025 Song Xia Yi Yu Wenhan Yang Meiwen Ding Zhuo Chen Lingyu Duan Alex C. Kot Xudong Jiang 260 5 0 01 Mar 2025
Forgetting Any Data at Any Time: A Theoretically Certified Unlearning Framework for Vertical Federated Learning Linian Wang Leye Wang MU 194 3 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 273 2 0 20 Feb 2025