Vertical Federated Learning

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Most implemented papers archive 2025-07-28

30 shown of 46 papers with code (195 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Fedlearn-Algo: A flexible open-source privacy-preserving machine learning platform
  8 Jul 2021 3 repositories listed
  We use this platform to demonstrate our research and development results on privacy preserving machine learning algorithms.
• Label Inference Attacks Against Vertical Federated Learning
  10 Oct 2022 2 repositories listed
  However, we discover that the bottom model structure and the gradient update mechanism of VFL can be exploited by a malicious participant to gain the power to infer the privately owned labels.
• Differentially Private Vertical Federated Clustering
  2 Aug 2022 2 repositories listed
  To enable model learning while protecting the privacy of the data subjects, we need vertical federated learning (VFL) techniques, where the data parties share only information for training the model, instead of the…
• Reliable Vertical Federated Learning in 5G Core Network Architecture
  21 May 2025 1 repository listed Syntology ran 2 of 3 samples · 1 unverified
  This work proposes a new algorithm to mitigate model generalization loss in Vertical Federated Learning (VFL) operating under client reliability constraints within 5G Core Networks (CNs).
• Forgetting Any Data at Any Time: A Theoretically Certified Unlearning Framework for Vertical Federated Learning
  24 Feb 2025 1 repository listed
  Privacy concerns in machine learning are heightened by regulations such as the GDPR, which enforces the "right to be forgotten" (RTBF), driving the emergence of machine unlearning as a critical research field.
• UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration
  20 Jan 2025 1 repository listed
  Next, each hospital learns a local knowledge transfer module offline, enabling the transfer of knowledge from the federated representation of overlapping patients to the enriched representation of local non-overlapping…
• Label Privacy in Split Learning for Large Models with Parameter-Efficient Training
  21 Dec 2024 1 repository listed
  Using this analysis, we propose P³EFT, a multi-party split learning algorithm that takes advantage of existing PEFT properties to maintain privacy at a lower performance overhead.
• Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning
  16 Dec 2024 1 repository listed
  Vertical Federated Learning (VFL) aims to enable collaborative training of deep learning models while maintaining privacy protection.
• Vertical Federated Unlearning via Backdoor Certification
  16 Dec 2024 1 repository listed
  We introduce an innovative modification to traditional VFL by employing a mechanism that inverts the typical learning trajectory with the objective of extracting specific data contributions.
• Query-Efficient Adversarial Attack Against Vertical Federated Graph Learning
  5 Nov 2024 1 repository listed
  As a result, the shadow model can improve the attack success rate of various centralized attacks with a few queries.
• Vertical Federated Learning with Missing Features During Training and Inference
  29 Oct 2024 1 repository listed Syntology ran 2 of 14 samples · 12 unverified
  Missing feature blocks are therefore a key challenge limiting the applicability of vertical federated learning in real-world scenarios.
• Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
  23 Oct 2024 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
  To overcome these limitations, we introduce the Federated Transformer (FeT), a novel framework that supports multi-party VFL with fuzzy identifiers.
• VFLIP: A Backdoor Defense for Vertical Federated Learning via Identification and Purification
  28 Aug 2024 1 repository listed
  Subsequently, VFLIP conducts purification which removes the embeddings identified as malicious and reconstructs all the embeddings based on the remaining embeddings.
• Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit
  8 Aug 2024 1 repository listed
  Vertical federated learning (VFL), where each participating client holds a subset of data features, has found numerous applications in finance, healthcare, and IoT systems.
• A Differentially Private Blockchain-Based Approach for Vertical Federated Learning
  9 Jul 2024 1 repository listed
  We provide the first prototype application of differential privacy with blockchain for vertical federated learning.
• Communication-efficient Vertical Federated Learning via Compressed Error Feedback
  20 Jun 2024 1 repository listed Syntology ran 3 of 4 samples · 1 unverified
  To address this, we propose an error feedback compressed vertical federated learning (EF-VFL) method to train split neural networks.
• Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning
  31 May 2024 1 repository listed
  We address these challenges and propose ``Secret-shared Time Series Forecasting with VFL'' (STV), a novel framework with the following key features: i) a privacy-preserving algorithm for forecasting with SARIMAX and…
• Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey
  25 May 2024 1 repository listed
  Vertical Federated Learning (VFL) is a privacy-preserving distributed learning paradigm where different parties collaboratively learn models using partitioned features of shared samples, without leaking private data.
• Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit
  7 May 2024 1 repository listed
  Vertical federated learning (VFL), where each participating client holds a subset of data features, has found numerous applications in finance, healthcare, and IoT systems.
• A Survey on Contribution Evaluation in Vertical Federated Learning
  3 May 2024 1 repository listed
  Vertical Federated Learning (VFL) has emerged as a critical approach in machine learning to address privacy concerns associated with centralized data storage and processing.
• URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learning
  30 Apr 2024 1 repository listed
  Launching effective malicious attacks in VFL presents unique challenges: 1) Firstly, given the distributed nature of clients' data features and models, each client rigorously guards its privacy and prohibits direct…
• VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication
  15 Apr 2024 1 repository listed
  Nevertheless, in some scenarios, it has been found that the attributes needed to train an AI model belong to different parties, and they cannot share the raw data for synthetic data publication due to privacy…
• VFLAIR: A Research Library and Benchmark for Vertical Federated Learning
  15 Oct 2023 1 repository listed
  Vertical Federated Learning (VFL) has emerged as a collaborative training paradigm that allows participants with different features of the same group of users to accomplish cooperative training without exposing their…
• Flexible Differentially Private Vertical Federated Learning with Adaptive Feature Embeddings
  26 Jul 2023 1 repository listed
  The emergence of vertical federated learning (VFL) has stimulated concerns about the imperfection in privacy protection, as shared feature embeddings may reveal sensitive information under privacy attacks.
• VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks
  5 Jul 2023 1 repository listed
  However, due to privacy restrictions, few public real-world VFL datasets exist for algorithm evaluation, and these represent a limited array of feature distributions.
• GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data
  16 Mar 2023 1 repository listed
  In this paper, we propose a model splitting method that splits a backbone GNN across the clients and the server and a communication-efficient algorithm, GLASU, to train such a model.
• Label Inference Attack against Split Learning under Regression Setting
  18 Jan 2023 1 repository listed
  In this work, we step further to study the leakage in the scenario of the regression model, where the private labels are continuous numbers (instead of discrete labels in classification).
• Coresets for Vertical Federated Learning: Regularized Linear Regression and K-Means Clustering
  26 Oct 2022 1 repository listed
  Vertical federated learning (VFL), where data features are stored in multiple parties distributively, is an important area in machine learning.
• Efficient Vertical Federated Learning Method for Ridge Regression of Large-Scale Samples via Least-Squares Solution
  26 Oct 2022 1 repository listed
  The experiments show that our proposed algorithm takes only about 400 seconds to handle up to 9.
• Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning
  13 Oct 2022 1 repository listed
  To address this problem, we develop a novel feature protection scheme against the reconstruction attack that effectively misleads the search to some pre-specified random values.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.