FLavourite: Horizontal and Vertical Federated Learning Setting Comparison
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DOI: 10.1109/access.2025.3569158
Abstract: Federated learning (FL) enables multiple organizations to collaboratively train AI models while keeping data separate. Depending on data distribution, FL can be set up horizontally (HFL) or vertically (VFL). When multi-modal data are already available… read more here.
Keywords: horizontal vertical; flavourite horizontal; setting comparison; vertical federated ... See more keywords
A Survey of Challenges and Opportunities in Vertical Federated Unlearning
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DOI: 10.1109/access.2025.3600884
Abstract: Vertical Federated Unlearning (VFU) is an emerging research area focused on removing specific data contributions from models trained under Vertical Federated Learning (VFL), a setting where different organizations collaboratively train models using distinct feature sets… read more here.
Keywords: challenges opportunities; survey challenges; vfu; federated unlearning ... See more keywords
Backdoor Attack Against Split Neural Network-Based Vertical Federated Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2023.3327853
Abstract: Vertical federated learning (VFL) is being used more and more widely in industry. One of its most common application scenarios is a two-party setting: a participant (i.e., the host), who exclusively owns the labels but… read more here.
Keywords: attack; vertical federated; model; federated learning ... See more keywords
A Multi-Modal Vertical Federated Learning Framework Based on Homomorphic Encryption
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DOI: 10.1109/tifs.2023.3340994
Abstract: Federated learning has gained prominence as an effective solution for addressing data silos, enabling collaboration among multiple parties without sharing their data. However, existing federated learning algorithms often neglect the challenge posed by multi-modal data… read more here.
Keywords: framework; vertical federated; encryption; multi modal ... See more keywords
MI-VFDNN: An Efficient Vertical Federated Deep Neural Network With Multi-Layer Interaction
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2024.3435557
Abstract: Federated Learning (FL) is proposed to address the challenge of data isolation, with federated machine learning algorithms continuously evolving. Vertical Federated Learning (VFL) is a specific FL setting where parties possessing different features but the… read more here.
Keywords: federated deep; vfdnn efficient; efficient vertical; vertical federated ... See more keywords
Privacy for Free: Spy Attack in Vertical Federated Learning by Both Active and Passive Parties
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2025.3534469
Abstract: Vertical federated learning (VFL) is an emerging paradigm well-suitable for commercial collaborations among companies. These companies share a common user base but possess distinct features. VFL enables the training of a shared global model with… read more here.
Keywords: attack; spy attacks; vertical federated; federated learning ... See more keywords
Private Sample Alignment for Vertical Federated Learning: An Efficient and Reliable Realization
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2025.3555794
Abstract: Sample alignment is recognized as a vital component of vertical federated learning, which facilitates the integration of differential samples and high-quality model training. In this trend, providing Private Sample Alignment (PSA) among multi-clients becomes naturally… read more here.
Keywords: protocol; vertical federated; federated learning; sample alignment ... See more keywords
Backdoor Attack on Encryption-Protected Vertical Federated Learning
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2025.3581095
Abstract: Vertical Federated Learning (VFL), as one of the key paradigms in federated learning, is commonly employed in scenarios where multiple parties share the same sample set but possess different features for these samples. Previous studies… read more here.
Keywords: attack; backdoor attack; vertical federated; federated learning ... See more keywords
Vertical Federated Density Peaks Clustering Under Nonlinear Mapping
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DOI: 10.1109/tkde.2024.3487534
Abstract: As the representative density-based clustering algorithm, density peaks clustering (DPC) has wide recognition, and many improved algorithms and applications have been extended from it. However, the DPC involving privacy protection has not been deeply studied.… read more here.
Keywords: density peaks; nonlinear mapping; federated density; vertical federated ... See more keywords
Feature-Based Machine Unlearning for Vertical Federated Learning in IoT Networks
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2025.3530529
Abstract: In the era of the Internet of Things (IoT), managing the deluge of data generated by distributed devices presents unique challenges, particularly concerning privacy and the efficient use of computational resources. Vertical Federated Learning (VFL)… read more here.
Keywords: machine unlearning; based machine; machine; vertical federated ... See more keywords
UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Edge Healthcare Collaboration
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2025.3590813
Abstract: Cross-hospital collaboration has the potential to mitigate disparities in medical resources across different regions. However, strict privacy regulations prohibit the direct sharing of sensitive patient information between hospitals. Vertical federated learning (VFL) provides a novel… read more here.
Keywords: collaboration; knowledge; knowledge transfer; vertical federated ... See more keywords