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Vertical Federated Learning

Papers

Showing 1–50 of 195 papers

TitleStatusHype
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving DesensitizationCode2
VFLAIR: A Research Library and Benchmark for Vertical Federated LearningCode1
Interpret Federated Learning with Shapley ValuesCode1
CAFE: Catastrophic Data Leakage in Vertical Federated LearningCode1
A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated LearningCode1
Practical Vertical Federated Learning with Unsupervised Representation LearningCode1
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning BenchmarksCode1
UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital CollaborationCode1
Vertical Federated Learning for Effectiveness, Security, Applicability: A SurveyCode1
Catastrophic Data Leakage in Vertical Federated LearningCode1
Differentially Private Vertical Federated ClusteringCode1
A Hybrid Self-Supervised Learning Framework for Vertical Federated LearningCode1
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked DataCode1
Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platformCode1
Feature Inference Attack on Model Predictions in Vertical Federated LearningCode1
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated LearningCode1
Label Inference Attacks Against Vertical Federated LearningCode1
PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNNCode1
VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and PurificationCode1
A Vertical Federated Learning Framework for Graph Convolutional Network—0
Large-Scale Secure XGB for Vertical Federated Learning—0
Deep Latent Variable Model based Vertical Federated Learning with Flexible Alignment and Labeling Scenarios—0
Asymmetrical Vertical Federated Learning—0
A GAN-based data poisoning framework against anomaly detection in vertical federated learning—0
A Survey on Vertical Federated Learning: From a Layered Perspective—0
AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization—0
ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems—0
A Vertical Federated Learning Framework for Horizontally Partitioned Labels—0
Active-Passive Federated Learning for Vertically Partitioned Multi-view Data—0
A Vertical Federated Learning Method for Interpretable Scorecard and Its Application in Credit Scoring—0
Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm—0
De-VertiFL: A Solution for Decentralized Vertical Federated Learning—0
Differentially Private AUC Computation in Vertical Federated Learning—0
Defending against Reconstruction Attack in Vertical Federated Learning—0
A few-shot Label Unlearning in Vertical Federated Learning—0
Batch Label Inference and Replacement Attacks in Black-Boxed Vertical Federated Learning—0
Random Client Selection on Contrastive Federated Learning for Tabular Data—0
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data—0
A Novel Framework of Horizontal-Vertical Hybrid Federated Learning for EdgeIoT—0
A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning—0
Computation and Communication Efficient Lightweighting Vertical Federated Learning for Smart Building IoT—0
A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression—0
A Study of Secure Algorithms for Vertical Federated Learning: Take Secure Logistic Regression as an Example—0
Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning—0
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective—0
Cross-Modal Vertical Federated Learning for MRI Reconstruction—0
Data Valuation for Vertical Federated Learning: A Model-free and Privacy-preserving Method—0
Decoupled Vertical Federated Learning for Practical Training on Vertically Partitioned Data—0
Deep Learning Aided Broadcast Codes with Feedback—0
TreeCSS: An Efficient Framework for Vertical Federated Learning—0
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