HeteroFedSyn: Differentially Private Tabular Data Synthesis for Heterogeneous Federated Settings
Year: 2026
Type: article
DOI: 10.1145/3802072
Authors: Xiaochen Li, Fengyu Gao, Xizixiang Wei, Tianhao Wang, Cong Shen, Jing Yang
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Funder: National Science Foundation
Awards: Collaborative Research: Optimized Testing Strategies for Fighting Pandemics: Fundamental Limits and Efficient Algorithms, Collaborative Research: CPS Medium: Learning through the Air: Cross-Layer UAV Orchestration for Online Federated Optimization, Collaborative Research: IMR: MM-1B: Foundations for Differentially Private Internet Measurement, CAREER: Towards a Communication Foundation for Distributed and Decentralized Machine Learning, Collaborative Research: CNS Core: Small: Timely Computing and Learning over Communication Networks, SII-Center: SpectrumX – An NSF Spectrum Innovation Center, Integrating Federated Split Neural Network with Artificial Stereoscopic Compound Eyes for Optical Flow Sensing in 3D Space with Precision
OpenAlex ID: W7161600111