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170 Publications
2018 |
Published |
Conference Paper |
IST-REx-ID: 6558 |
Alistarh, Dan-Adrian, et al. “Byzantine Stochastic Gradient Descent.” Advances in Neural Information Processing Systems, vol. 2018, Neural Information Processing Systems Foundation, 2018, pp. 4613–23.
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| arXiv
2018 |
Published |
Conference Paper |
IST-REx-ID: 7116 |
Grubic, Demjan, et al. “Synchronous Multi-GPU Training for Deep Learning with Low-Precision Communications: An Empirical Study.” Proceedings of the 21st International Conference on Extending Database Technology, OpenProceedings, 2018, pp. 145–56, doi:10.5441/002/EDBT.2018.14.
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2018 |
Published |
Conference Paper |
IST-REx-ID: 7123 |
Alistarh, Dan-Adrian, et al. “Space-Optimal Majority in Population Protocols.” Proceedings of the 29th Annual ACM-SIAM Symposium on Discrete Algorithms, ACM, 2018, pp. 2221–39, doi:10.1137/1.9781611975031.144.
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| arXiv
2018 |
Published |
Conference Paper |
IST-REx-ID: 397
Arbel Raviv, Maya, and Trevor A. Brown. Harnessing Epoch-Based Reclamation for Efficient Range Queries. Vol. 53, no. 1, ACM, 2018, pp. 14–27, doi:10.1145/3178487.3178489.
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2018 |
Published |
Journal Article |
IST-REx-ID: 43 |
Rybicki, Joel, et al. “Model of Bacterial Toxin-Dependent Pathogenesis Explains Infective Dose.” Proceedings of the National Academy of Sciences of the United States of America, vol. 115, no. 42, National Academy of Sciences, 2018, pp. 10690–95, doi:10.1073/pnas.1721061115.
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2018 |
Published |
Conference Paper |
IST-REx-ID: 6589 |
Alistarh, Dan-Adrian, et al. “The Convergence of Sparsified Gradient Methods.” 32nd Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2018, pp. 5973–83.
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| arXiv
2017 |
Published |
Conference Paper |
IST-REx-ID: 487
Baig, Ghufran, et al. “Towards Unlicensed Cellular Networks in TV White Spaces.” Proceedings of the 2017 13th International Conference on Emerging Networking EXperiments and Technologies, ACM, 2017, pp. 2–14, doi:10.1145/3143361.3143367.
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2017 |
Published |
Conference Paper |
IST-REx-ID: 791 |
Alistarh, Dan-Adrian, et al. “The Power of Choice in Priority Scheduling.” Proceedings of the ACM Symposium on Principles of Distributed Computing, vol. Part F129314, ACM, 2017, pp. 283–92, doi:10.1145/3087801.3087810.
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| arXiv
2017 |
Published |
Conference Paper |
IST-REx-ID: 431 |
Alistarh, Dan-Adrian, et al. QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding. Vol. 2017, Neural Information Processing Systems Foundation, 2017, pp. 1710–21.
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| arXiv
2017 |
Published |
Conference Paper |
IST-REx-ID: 432 |
Zhang, Hantian, et al. “ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning.” Proceedings of Machine Learning Research, vol. 70, ML Research Press, 2017, pp. 4035–43.
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