Augustine, J., Hillebrandt, H., Kumar, M., Scheideler, C., & Werthmann, J. (2026). Supervised Distributed Computing: Efficiency and Robustness under a Majority of Adversarial Workers. ACM Symposium on Principles of Distributed Computing, 337. https://doi.org/10.1145/3796701.3815939
Chicago Style (17th ed.) CitationAugustine, John, Henning Hillebrandt, Manish Kumar, Christian Scheideler, and Julian Werthmann. "Supervised Distributed Computing: Efficiency and Robustness Under a Majority of Adversarial Workers." ACM Symposium on Principles of Distributed Computing 2026: 337. https://doi.org/10.1145/3796701.3815939.
MLA (9th ed.) CitationAugustine, John, et al. "Supervised Distributed Computing: Efficiency and Robustness Under a Majority of Adversarial Workers." ACM Symposium on Principles of Distributed Computing, 2026, p. 337, https://doi.org/10.1145/3796701.3815939.