PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN

1 April 2021

Papers citing "PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN"

37 / 37 papers shown

Title
Tree-based Models for Vertical Federated Learning: A Survey Bingchen Qian Yuexiang Xie Yaliang Li Bolin Ding Jingren Zhou FedML 61 0 0 03 Apr 2025
De-VertiFL: A Solution for Decentralized Vertical Federated Learning Alberto Huertas Celdrán Chao Feng Sabyasachi Banik Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller FedML 33 0 0 08 Oct 2024
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey Mang Ye Wei Shen Bo Du E. Snezhko Vassili Kovalev PongChi Yuen FedML 80 3 0 25 May 2024
TabVFL: Improving Latent Representation in Vertical Federated Learning Mohamed Rashad Zilong Zhao Jérémie Decouchant Lydia Y. Chen FedML 45 0 0 27 Apr 2024
Federated Learning: Attacks, Defenses, Opportunities, and Challenges Ghazaleh Shirvani Saeid Ghasemshirazi Behzad Beigzadeh FedML 67 3 0 10 Mar 2024
Decoupled Vertical Federated Learning for Practical Training on Vertically Partitioned Data Avi Amalanshu Yash Sirvi David I. Inouye FedML 40 1 0 06 Mar 2024
Training Machine Learning models at the Edge: A Survey Aymen Rayane Khouas Mohamed Reda Bouadjenek Hakim Hacid Sunil Aryal 34 10 0 05 Mar 2024
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective Lei Yu Meng Han Yiming Li Changting Lin Yao Zhang ... Yan Liu Haiqin Weng Yuseok Jeon Ka-Ho Chow Stacy Patterson FedML 60 9 0 06 Feb 2024
Survey of Privacy Threats and Countermeasures in Federated Learning M. Hayashitani Junki Mori Isamu Teranishi FedML 37 1 0 01 Feb 2024
Starlit: Privacy-Preserving Federated Learning to Enhance Financial Fraud Detection Aydin Abadi Bradley Doyle Francesco Gini Kieron Guinamard S. K. Murakonda ... Steven J. Murdoch Mohammad Naseri Hector Page George Theodorakopoulos Suzanne Weller 44 6 0 19 Jan 2024
Locally Differentially Private Embedding Models in Distributed Fraud Prevention Systems Iker Perez Jason Wong Piotr Skalski Stuart Burrell Richard Mortier Derek McAuley David Sutton FedML 24 1 0 03 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 70 12 0 25 Dec 2023
Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection S. Kadhe Heiko Ludwig Nathalie Baracaldo Alan King Yi Zhou ... Ryo Kawahara Nir Drucker Hayim Shaul Eyal Kushnir Omri Soceanu FedML 13 3 0 30 Oct 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 38 0 0 20 Oct 2023
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning Tianyuan Zou Zixuan Gu Yuanqin He Hideaki Takahashi Yang Liu Ya-Qin Zhang FedML 43 5 0 15 Oct 2023
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples Jingwei Sun Ziyue Xu Dong Yang V. Nath Wenqi Li Can Zhao Daguang Xu Yiran Chen H. Roth FedML 32 14 0 28 Mar 2023
GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data Xinwei Zhang Min-Fong Hong Jie Chen FedML 29 3 0 16 Mar 2023
Distributed and Deep Vertical Federated Learning with Big Data Ji Liu Xuehai Zhou L. Mo Shilei Ji Yuan Liao Zhu Li Qinhua Gu Dejing Dou FedML 24 17 0 08 Mar 2023
Personalised Federated Learning On Heterogeneous Feature Spaces A. Rakotomamonjy Maxime Vono H. M. Ruiz L. Ralaivola FedML 18 8 0 26 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 64 161 0 23 Nov 2022
Vertical Federated Linear Contextual Bandits Zeyu Cao Zhipeng Liang Shu Zhen Zhang Hang Li Ouyang Wen Yu Rong P. Zhao Bing Wu FedML 27 0 0 20 Oct 2022
Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning Peng Ye Zhifeng Jiang Wei Wang Bo-wen Li Baochun Li AAML FedML 45 16 0 13 Oct 2022
A Survey on Heterogeneous Federated Learning Dashan Gao Xin Yao Qian Yang FedML 30 58 0 10 Oct 2022
Flexible Vertical Federated Learning with Heterogeneous Parties Timothy Castiglia Shiqiang Wang S. Patterson FedML 42 34 0 26 Aug 2022
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions A. Rauniyar D. Hagos Debesh Jha J. E. Haakegaard Ulas Bagci D. Rawat Vladimir Vlassov OOD 46 90 0 05 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 31 61 0 20 Jul 2022
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data Timothy Castiglia Anirban Das Shiqiang Wang S. Patterson FedML 27 48 0 16 Jun 2022
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning Zhen Wang Weirui Kuang Yuexiang Xie Liuyi Yao Yaliang Li Bolin Ding Jingren Zhou FedML 21 77 0 12 Apr 2022
Similarity-based Label Inference Attack against Training and Inference of Split Learning Junlin Liu Xinchen Lyu Qimei Cui Xiaofeng Tao FedML 35 26 0 10 Mar 2022
Continual Horizontal Federated Learning for Heterogeneous Data Junki Mori Isamu Teranishi Ryo Furukawa FedML 13 12 0 04 Mar 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning Chuan Ma Jun Li Kang Wei Bo Liu Ming Ding Long Yuan Zhu Han H. Vincent Poor 59 42 0 18 Feb 2022
FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients Jianyu Wang Qi A. S. Rawat Sashank J. Reddi Sagar M. Waghmare Felix X. Yu Gauri Joshi FedML 27 22 0 28 Jan 2022
An Information-Theoretic Analysis of The Cost of Decentralization for Learning and Inference Under Privacy Constraints Sharu Theresa Jose Osvaldo Simeone FedML 21 0 0 11 Oct 2021
From Distributed Machine Learning to Federated Learning: A Survey Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 51 244 0 29 Apr 2021
Practical Defences Against Model Inversion Attacks for Split Neural Networks Tom Titcombe A. Hall Pavlos Papadopoulos Daniele Romanini FedML 35 58 0 12 Apr 2021
Unleashing the Tiger: Inference Attacks on Split Learning Dario Pasquini G. Ateniese M. Bernaschi FedML 34 147 0 04 Dec 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 168 566 0 27 Jul 2020