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Qingsong Zhang

2 accepted papers

2023

A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning

NeurIPS 2023poster

Vertical Federated Learning (VFL) is a collaborative machine learning paradigm that enables multiple participants to jointly train a model on their private data without sharing it. To make VFL practical, privacy security and communication efficiency should both be satisfied. Recent research has show…

2021

Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating

AAAI 2021technical

Vertical federated learning (VFL) attracts increasing attention due to the emerging demands of multi-party collaborative modeling and concerns of privacy leakage. In the real VFL applications, usually only one or partial parties hold labels, which makes it challenging for all parties to collaborativ…

Cited by 90SourcePDFScholar