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170 Publications
2018 |
Published |
Conference Paper |
IST-REx-ID: 6558 |
Alistarh, Dan-Adrian, Zeyuan Allen-Zhu, and Jerry Li. “Byzantine Stochastic Gradient Descent.” In Advances in Neural Information Processing Systems, 2018:4613–23. Neural Information Processing Systems Foundation, 2018.
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| arXiv
2018 |
Published |
Conference Paper |
IST-REx-ID: 7116 |
Grubic, Demjan, Leo Tam, Dan-Adrian Alistarh, and Ce Zhang. “Synchronous Multi-GPU Training for Deep Learning with Low-Precision Communications: An Empirical Study.” In Proceedings of the 21st International Conference on Extending Database Technology, 145–56. OpenProceedings, 2018. https://doi.org/10.5441/002/EDBT.2018.14.
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2018 |
Published |
Conference Paper |
IST-REx-ID: 7123 |
Alistarh, Dan-Adrian, James Aspnes, and Rati Gelashvili. “Space-Optimal Majority in Population Protocols.” In Proceedings of the 29th Annual ACM-SIAM Symposium on Discrete Algorithms, 2221–39. ACM, 2018. https://doi.org/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,” 53:14–27. ACM, 2018. https://doi.org/10.1145/3178487.3178489.
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2018 |
Published |
Journal Article |
IST-REx-ID: 43 |
Rybicki, Joel, Eva Kisdi, and Jani Anttila. “Model of Bacterial Toxin-Dependent Pathogenesis Explains Infective Dose.” Proceedings of the National Academy of Sciences of the United States of America. National Academy of Sciences, 2018. https://doi.org/10.1073/pnas.1721061115.
[Submitted Version]
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2018 |
Published |
Conference Paper |
IST-REx-ID: 6589 |
Alistarh, Dan-Adrian, Torsten Hoefler, Mikael Johansson, Nikola H Konstantinov, Sarit Khirirat, and Cedric Renggli. “The Convergence of Sparsified Gradient Methods.” In 32nd Conference on Neural Information Processing Systems, 5973–83. Neural Information Processing Systems Foundation, 2018.
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| arXiv
2017 |
Published |
Conference Paper |
IST-REx-ID: 487
Baig, Ghufran, Bozidar Radunovic, Dan-Adrian Alistarh, Matthew Balkwill, Thomas Karagiannis, and Lili Qiu. “Towards Unlicensed Cellular Networks in TV White Spaces.” In Proceedings of the 2017 13th International Conference on Emerging Networking EXperiments and Technologies, 2–14. ACM, 2017. https://doi.org/10.1145/3143361.3143367.
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2017 |
Published |
Conference Paper |
IST-REx-ID: 791 |
Alistarh, Dan-Adrian, Justin Kopinsky, Jerry Li, and Giorgi Nadiradze. “The Power of Choice in Priority Scheduling.” In Proceedings of the ACM Symposium on Principles of Distributed Computing, Part F129314:283–92. ACM, 2017. https://doi.org/10.1145/3087801.3087810.
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| arXiv
2017 |
Published |
Conference Paper |
IST-REx-ID: 431 |
Alistarh, Dan-Adrian, Demjan Grubic, Jerry Li, Ryota Tomioka, and Milan Vojnović. “QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding,” 2017:1710–21. Neural Information Processing Systems Foundation, 2017.
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| arXiv
2017 |
Published |
Conference Paper |
IST-REx-ID: 432 |
Zhang, Hantian, Jerry Li, Kaan Kara, Dan-Adrian Alistarh, Ji Liu, and Ce Zhang. “ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning.” In Proceedings of Machine Learning Research, 70:4035–43. ML Research Press, 2017.
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