Vertical federated learning: Concepts, advances, and challenges
Vertical Federated Learning (VFL) is a federated learning setting where multiple parties with
different features about the same set of users jointly train machine learning models without …
different features about the same set of users jointly train machine learning models without …
Communication-efficient vertical federated learning with limited overlap** samples
Federated learning is a popular collaborative learning approach that enables clients to train
a global model without sharing their local data. Vertical federated learning (VFL) deals with …
a global model without sharing their local data. Vertical federated learning (VFL) deals with …
Hashvfl: Defending against data reconstruction attacks in vertical federated learning
Vertical Federated Learning (VFL) is a trending collaborative machine learning model
training solution. Existing industrial frameworks employ secure multi-party computation …
training solution. Existing industrial frameworks employ secure multi-party computation …
A defense mechanism against label inference attacks in vertical federated learning
Abstract Vertical Federated Learning (VFL, for short) is a category of Federated Learning
that is gaining increasing attention in the context of Artificial Intelligence. According to this …
that is gaining increasing attention in the context of Artificial Intelligence. According to this …
Vertical federated learning: taxonomies, threats, and prospects
Federated learning (FL) is the most popular distributed machine learning technique. FL
allows machine-learning models to be trained without acquiring raw data to a single point for …
allows machine-learning models to be trained without acquiring raw data to a single point for …
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
Federated Learning (FL) is an evolving paradigm that enables multiple parties to
collaboratively train models without sharing raw data. Among its variants, Vertical Federated …
collaboratively train models without sharing raw data. Among its variants, Vertical Federated …
Eliminating Label Leakage in Tree-Based Vertical Federated Learning
Vertical federated learning (VFL) enables multiple parties with disjoint features of a common
user set to train a machine learning model without sharing their private data. Tree-based …
user set to train a machine learning model without sharing their private data. Tree-based …