Ying Cui

most citedOptimization and Optimizers for Adversarial Robustness

2 citations · 2 across the 2 of their papers we have counts for

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cs.LG2023

GQFedWAvg: Optimization-Based Quantized Federated Learning in General Edge Computing Systems

Yangchen Li, Ying Cui, Vincent Lau

The optimal implementation of federated learning (FL) in practical edge computing systems has been an outstanding problem. In this paper, we propose an optimization-based quantized…

cs.LG2023★ 2 cited

Optimization and Optimizers for Adversarial Robustness

Hengyue Liang, Buyun Liang, Le Peng +3

Empirical robustness evaluation (RE) of deep learning models against adversarial perturbations entails solving nontrivial constrained optimization problems. Existing numerical algo…

cs.LG2022

Optimization for Robustness Evaluation beyond $ℓ_{p}$ Metrics

Hengyue Liang, Buyun Liang, Ying Cui +2

Empirical evaluation of deep learning models against adversarial attacks entails solving nontrivial constrained optimization problems. Popular algorithms for solving these constrai…

GQFedWAvg: Optimization-Based Quantized Federated Learning in General Edge Computing Systems

Optimization and Optimizers for Adversarial Robustness

Optimization for Robustness Evaluation beyond ℓp​ Metrics

Optimization for Robustness Evaluation beyond $ℓ_{p}$ Metrics