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Vertical Federated Learning

Papers

Showing 101125 of 195 papers

TitleStatusHype
A Survey on Vertical Federated Learning: From a Layered Perspective0
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties0
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples0
GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph DataCode0
FedSDG-FS: Efficient and Secure Feature Selection for Vertical Federated Learning0
Privacy Against Agnostic Inference Attacks in Vertical Federated Learning0
GAN-based Vertical Federated Learning for Label Protection in Binary Classification0
GTV: Generating Tabular Data via Vertical Federated Learning0
Vertical Federated Learning: Taxonomies, Threats, and Prospects0
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation0
Label Inference Attack against Split Learning under Regression SettingCode0
Mutual Information Regularization for Vertical Federated Learning0
HashVFL: Defending Against Data Reconstruction Attacks in Vertical Federated Learning0
Hijack Vertical Federated Learning Models As One Party0
Vertical Federated Learning: A Structured Literature Review0
Vertical Federated Learning: Concepts, Advances and Challenges0
Differentially Private Vertical Federated Learning0
Efficient Vertical Federated Learning Method for Ridge Regression of Large-Scale Samples via Least-Squares SolutionCode0
Coresets for Vertical Federated Learning: Regularized Linear Regression and K-Means ClusteringCode0
Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario0
Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated LearningCode0
Label Inference Attacks Against Vertical Federated LearningCode1
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving DesensitizationCode2
Vertical Semi-Federated Learning for Efficient Online Advertising0
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated LearningCode0
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