Exact Consensus under Global Asymmetric Byzantine Links. - Lewis Tseng; Qinzi Zhang; Saptaparni Kumar; Yifan Zhang (ICDCS, 2020)

Echo-CGC: A Communication-Efficient Byzantine-Tolerant Distributed Machine Learning Algorithm in Single-Hop Radio Network. - Qinzi Zhang; Lewis Tseng (OPODIS, 2020)

Brief Announcement: Reaching Approximate Consensus When Everyone May Crash. - Lewis Tseng; Qinzi Zhang; Yifan Zhang (DISC, 2020)

Practical approximate consensus algorithms for small devices in lossy networks. - Qinzi Zhang; Tigran Bantikyan; Lewis Tseng (MobiCom, 2021)

Differentially Private Online-to-batch for Smooth Losses. - Qinzi Zhang; Hoang Tran; Ashok Cutkosky (NeurIPS, 2022)

Brief Announcement: Computability and Anonymous Storage-Efficient Consensus with an Abstract MAC Layer. - Lewis Tseng; Qinzi Zhang (PODC, 2022)

CRACAU: Byzantine Machine Learning Meets Industrial Edge Computing in Industry 5.0. - Anran Du; Yicheng Shen; Qinzi Zhang; Lewis Tseng; Moayad Aloqaily (IEEE Trans. Ind. Informatics, 2022)

Fault-tolerant Consensus in Anonymous Dynamic Network. - Qinzi Zhang; Lewis Tseng (ICDCS, 2024)

Private Zeroth-Order Nonsmooth Nonconvex Optimization. - Qinzi Zhang; Hoang Tran; Ashok Cutkosky (ICLR, 2024)

Random Scaling and Momentum for Non-smooth Non-convex Optimization. - Qinzi Zhang; Ashok Cutkosky (ICML, 2024)

The Power of Abstract MAC Layer: A Fault-Tolerance Perspective. - Qinzi Zhang; Lewis Tseng (DISC, 2024)

Empirical Tests of Optimization Assumptions in Deep Learning. - Hoang Tran; Qinzi Zhang; Ashok Cutkosky (CoRR, 2024)