Published in Proceedings of the VLDB Endowment (VLDB 2026) — to appear, 2026
Scalable DAG-based consensus with trusted hardware components. Accepted at VLDB 2026.
Recommended citation: Xie, S., Kang, D., Lyu, H., Niu, J., & Sadoghi, M. (2026). "Fides: Scalable Censorship-Resistant DAG Consensus via Trusted Components." Proceedings of the VLDB Endowment (VLDB 2026). (To appear.) arXiv:2501.01062
Download Paper
Published in Proceedings of the ACM Symposium on Principles of Distributed Computing (PODC '26), pp. 489–499, 2026
An AVL-tree-based fair-ordering algorithm that achieves the optimal Θ(|T| log |T|) comparator-query complexity for γ-Batch-Order-Fairness. Published at PODC 2026.
Recommended citation: Dinh, T. T. A., Kang, D., & Sadoghi, M. (2026). "FEAT: Fair and Efficient Adversarial Transaction Ordering." In Proceedings of the ACM Symposium on Principles of Distributed Computing (PODC '26) (pp. 489–499). Association for Computing Machinery, New York, NY, USA. DOI: 10.1145/3796701.3815905
Download Paper
Published in Proceedings of the VLDB Endowment, 19(2), 265–278, 2025
Order fairness for multi-proposer DAG-based BFT consensus protocols.
Recommended citation: Kang, D., Chen, J., Dinh, T. T. A., & Sadoghi, M. (2025). "FairDAG: Consensus Fairness over Multi-Proposer Causal Design." Proceedings of the VLDB Endowment, 19(2), 265–278. [Preprint]
Download Paper
Published in Proceedings of the 39th International Symposium on Distributed Computing (DISC 2025), LIPIcs Vol. 356, pp. 59:1–59:7, 2025
Brief announcement on carrying the tail in BFT consensus protocols.
Recommended citation: Gupta, S., Kang, D., Malkhi, D., & Sadoghi, M. (2025). "Brief Announcement: Carry the Tail in Consensus Protocols." In Proceedings of the 39th International Symposium on Distributed Computing (DISC 2025) (LIPIcs, Vol. 356, pp. 59:1–59:7). Schloss Dagstuhl – Leibniz-Zentrum für Informatik. [Preprint] [Blog]
Download Paper
Published in Proceedings of the ACM on Management of Data (SIGMOD), 3(3), 1–29, 2025
Linear-communication BFT consensus accelerated with one-phase speculation. Honorable Mention for Best Artifact.
Recommended citation: Kang, D., Gupta, S., Malkhi, D., & Sadoghi, M. (2025). "HotStuff-1: Linear Consensus with One-Phase Speculation." Proceedings of the ACM on Management of Data (SIGMOD), 3(3), 1–29. Honorable Mention for Best Artifact. [Preprint] [Blog]
Download Paper
Published in 2024 IEEE 40th International Conference on Data Engineering (ICDE), 2024
Practical concurrent rotational consensus with rapid view synchronization.
Recommended citation: Kang, D., Rahnama, S., Hellings, J., & Sadoghi, M. (2024). "Spotless: Concurrent Rotational Consensus Made Practical through Rapid View Synchronization." 2024 IEEE 40th International Conference on Data Engineering (ICDE), pp. 1916-1929. IEEE. [Preprint]
Download Paper
Published in arXiv preprint arXiv:2607.02856, 2026
A BFT consensus protocol that keeps partial progress during network partitions via a two-tier certification framework and a partition-tolerant pacemaker.
Recommended citation: Xie, S., Kang, D., Chen, J., Gupta, S., Hughes, D. P., & Sadoghi, M. (2026). "Cassandra: Consensus with Partial Progress via Robust Partitionable View Synchronization." arXiv preprint arXiv:2607.02856.
Download Paper