SplitNN-driven Vertical Partitioning

7 August 2020

Papers citing "SplitNN-driven Vertical Partitioning"

40 / 40 papers shown

Title
Scaling Probabilistic Circuits via Data Partitioning Jonas Seng Florian Peter Busch P. Prasad D. Dhami Martin Mundt Kristian Kersting TPM FedML 76 0 0 11 Mar 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 85 1 0 20 Feb 2025
Vertical Federated Learning with Missing Features During Training and Inference Pedro Valdeira Shiqiang Wang Yuejie Chi FedML 35 1 0 29 Oct 2024
De-VertiFL: A Solution for Decentralized Vertical Federated Learning Alberto Huertas Celdrán Chao Feng Sabyasachi Banik Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller FedML 24 0 0 08 Oct 2024
Communication-efficient Vertical Federated Learning via Compressed Error Feedback Pedro Valdeira João Xavier Cláudia Soares Yuejie Chi FedML 30 4 0 20 Jun 2024
Scalable Vertical Federated Learning via Data Augmentation and Amortized Inference Conor Hassan Matthew Sutton Antonietta Mira Kerrie Mengersen FedML 21 1 0 07 May 2024
TabVFL: Improving Latent Representation in Vertical Federated Learning Mohamed Rashad Zilong Zhao Jérémie Decouchant Lydia Y. Chen FedML 32 0 0 27 Apr 2024
Empowering Data Mesh with Federated Learning Haoyuan Li Salman Toor AI4CE 16 1 0 26 Mar 2024
Decoupled Vertical Federated Learning for Practical Training on Vertically Partitioned Data Avi Amalanshu Yash Sirvi David I. Inouye FedML 29 1 0 06 Mar 2024
Privacy-Enhancing Collaborative Information Sharing through Federated Learning -- A Case of the Insurance Industry Panyi Dong Zhiyu Quan Brandon Edwards Hans Shih-Han Wang Runhuan Feng Tianyang Wang Patrick Foley Prashant Shah FedML 40 1 0 22 Feb 2024
Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection A. Abadi Bradley Doyle Francesco Gini Kieron Guinamard S. K. Murakonda ... S. Murdoch Mohammad Naseri Hector Page George Theodorakopoulos Suzanne Weller 33 6 0 19 Jan 2024
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 65 11 0 25 Dec 2023
VFedMH: Vertical Federated Learning for Training Multiple Heterogeneous Models Shuo Wang Keke Gai Jing Yu Liehuang Zhu Kim-Kwang Raymond Choo Bin Xiao FedML 28 0 0 20 Oct 2023
Passive Inference Attacks on Split Learning via Adversarial Regularization Xiaochen Zhu Xinjian Luo Yuncheng Wu Yangfan Jiang Xiaokui Xiao Beng Chin Ooi FedML 11 9 0 16 Oct 2023
A Multi-Token Coordinate Descent Method for Semi-Decentralized Vertical Federated Learning Pedro Valdeira Yuejie Chi Cláudia Soares Joao Xavier 29 3 0 18 Sep 2023
Flexible Differentially Private Vertical Federated Learning with Adaptive Feature Embeddings Yuxi Mi Hongquan Liu Yewei Xia Yiheng Sun Jihong Guan Shuigeng Zhou FedML 18 1 0 26 Jul 2023
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning Timothy Castiglia Yi Zhou Shiqiang Wang S. Kadhe Nathalie Baracaldo S. Patterson FedML 71 16 0 03 May 2023
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models Songze Li Duanyi Yao Jin Liu FedML 17 28 0 26 Apr 2023
Secure Split Learning against Property Inference, Data Reconstruction, and Feature Space Hijacking Attacks Yunlong Mao Zexi Xin Zhenyu Li Jue Hong Qingyou Yang Sheng Zhong MIACV AAML 18 10 0 19 Apr 2023
GAN-based Vertical Federated Learning for Label Protection in Binary Classification Yujin Han Leying Guan FedML 22 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 16 10 0 27 Jan 2023
Vertical Federated Learning: Concepts, Advances and Challenges Yang Liu Yan Kang Tianyuan Zou Yanhong Pu Yuanqin He Xiaozhou Ye Ye Ouyang Yaqin Zhang Qian Yang FedML 33 160 0 23 Nov 2022
Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Enrique Tomás Martínez Beltrán Daniel Demeter Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller AAML FedML 11 6 0 20 Oct 2022
Vertical Semi-Federated Learning for Efficient Online Advertising Wenjie Li Qiaolin Xia Hao Cheng Kouying Xue Shutao Xia FedML 34 14 0 30 Sep 2022
DPAUC: Differentially Private AUC Computation in Federated Learning Jiankai Sun Xin Yang Yuanshun Yao Junyuan Xie Di Wu Chong-Jun Wang FedML 25 11 0 25 Aug 2022
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions Qiang Duan Shijing Hu Ruijun Deng Zhihui Lu FedML 23 61 0 20 Jul 2022
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data Timothy Castiglia Anirban Das Shiqiang Wang S. Patterson FedML 14 48 0 16 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 20 6 0 31 May 2022
Similarity-based Label Inference Attack against Training and Inference of Split Learning Junlin Liu Xinchen Lyu Qimei Cui Xiaofeng Tao FedML 14 26 0 10 Mar 2022
Differentially Private Label Protection in Split Learning Xin Yang Jiankai Sun Yuanshun Yao Junyuan Xie Chong-Jun Wang FedML 34 36 0 04 Mar 2022
Vertical Federated Edge Learning with Distributed Integrated Sensing and Communication Peixi Liu Guangxu Zhu Wei Jiang Wu Luo Jie Xu Shuguang Cui FedML 18 35 0 21 Jan 2022
In-Network Learning: Distributed Training and Inference in Networks Matei Moldoveanu A. Zaidi 25 11 0 07 Jul 2021
Vertical Federated Learning without Revealing Intersection Membership Jiankai Sun Xin Yang Yuanshun Yao Aonan Zhang Weihao Gao Junyuan Xie Chong-Jun Wang FedML 23 37 0 10 Jun 2021
Multi-VFL: A Vertical Federated Learning System for Multiple Data and Label Owners Vaikkunth Mugunthan P. Goyal Lalana Kagal FedML 18 9 0 10 Jun 2021
Practical Defences Against Model Inversion Attacks for Split Neural Networks Tom Titcombe A. Hall Pavlos Papadopoulos Daniele Romanini FedML 17 58 0 12 Apr 2021
PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN Daniele Romanini A. Hall Pavlos Papadopoulos Tom Titcombe Abbas Ismail Tudor Cebere R. Sandmann Robin Roehm Michael A. Hoeh FedML MU 13 90 0 01 Apr 2021
Self-supervised Cross-silo Federated Neural Architecture Search Xinle Liang Yang Liu Jiahuan Luo Yuanqin He Tianjian Chen Qiang Yang FedML 98 18 0 28 Jan 2021
Unleashing the Tiger: Inference Attacks on Split Learning Dario Pasquini G. Ateniese M. Bernaschi FedML 10 147 0 04 Dec 2020
Advancements of federated learning towards privacy preservation: from federated learning to split learning Chandra Thapa Pathum Chamikara Mahawaga Arachchige S. Çamtepe FedML 6 82 0 25 Nov 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 57 6,057 0 10 Dec 2019