Research

Efficiency, Fairness, and Privacy in Federated Learning

CRAFT: Conflict-Resolved Aggregation for Federated Training

Ziqi Wang, Qiang Liu, and Nils Thuerey

NeurIPS, accepted, 2026

arXiv code

Nonlinear Equilibrium Transitions in a Potential Game Model for Federated Learning

Kang Liu, Ziqi Wang^*, and Enrique Zuazua

Physica D: Nonlinear Phenomena, 2026

DOI arXiv code

Fairness-Aware Federated Learning with Trajectory Shapley Value

Daniel Kuznetsov and Ziqi Wang^*

24th European Control Conference (ECC), to appear, 2026

arXiv

Approximate and Weighted Data Reconstruction Attack in Federated Learning

Yongcun Song, Ziqi Wang^*, and Enrique Zuazua

IEEE Transactions on Big Data, 2026

DOI arXiv code

FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning

Yongcun Song, Ziqi Wang^*, and Enrique Zuazua

Neural Networks, 2025

DOI arXiv code

Guidance and Control of Dynamical Systems

Two-Stage Guidance Law with Constrained Impact via Circle Involute

Ziqi Wang, Qinglei Hu, Tuo Han, and Ming Xin

IEEE Transactions on Aerospace and Electronic Systems, 2021

DOI

Circle Involute-Based Path Planning and Tracking for Impact Angle Control

Ziqi Wang, Qinglei Hu, Tuo Han, and Kewei Zhong

Chinese Control and Decision Conference (CCDC), 2020

DOI