| CRACAU: Byzantine machine learning meets industrial edge computing in industry 5.0 A Du, Y Shen, Q Zhang, L Tseng, M Aloqaily IEEE Transactions on Industrial Informatics 18 (8), 5435-5445, 2021 | 26 | 2021 |
| Exact consensus under global asymmetric Byzantine links L Tseng, Q Zhang, S Kumar, Y Zhang 2020 IEEE 40th International Conference on Distributed Computing Systems …, 2020 | 5 | 2020 |
| Echo-CGC: A communication-efficient byzantine-tolerant distributed machine learning algorithm in single-hop radio network Q Zhang, L Tseng arXiv preprint arXiv:2011.07447, 2020 | 2 | 2020 |
| Differentially Private Online-to-batch for Smooth Losses. Q Zhang, H Tran, A Cutkosky NeurIPS, 2022 | 1 | 2022 |
| Brief announcement: Computability and anonymous storage-efficient consensus with an abstract mac layer L Tseng, Q Zhang Proceedings of the 2022 ACM Symposium on Principles of Distributed Computing …, 2022 | 1 | 2022 |
| Brief Announcement: Reaching Approximate Consensus When Everyone May Crash L Tseng, Q Zhang, Y Zhang 34th International Symposium on Distributed Computing (DISC 2020), 2020 | 1 | 2020 |
| Practical approximate consensus algorithms for small devices in lossy networks Q Zhang, T Bantikyan, L Tseng Proceedings of the 27th Annual International Conference on Mobile Computing …, 2021 | | 2021 |
