Ying Cui

activity

20212023

most citedSample-based and Feature-based Federated Learning for Unconstrained and Constrained Nonconvex Optimization via Mini-batch SSCA

9 citations · 20 across the 6 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

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…

cs.IT2022★ 7 cited

Optimization-based Block Coordinate Gradient Coding for Mitigating Partial Stragglers in Distributed Learning

Qi Wang, Ying Cui, Chenglin Li +2

Gradient coding schemes effectively mitigate full stragglers in distributed learning by introducing identical redundancy in coded local partial derivatives corresponding to all mod…

Optimization for Robustness Evaluation beyond ℓp​ Metrics

Optimization-based Block Coordinate Gradient Coding for Mitigating Partial Stragglers in Distributed Learning

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