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170 Publications
2018 |
Published |
Conference Paper |
IST-REx-ID: 6558 |
Alistarh D-A, Allen-Zhu Z, Li J. 2018. Byzantine stochastic gradient descent. Advances in Neural Information Processing Systems. NeurIPS: Conference on Neural Information Processing Systems vol. 2018, 4613–4623.
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| arXiv
2018 |
Published |
Conference Paper |
IST-REx-ID: 7116 |
Grubic D, Tam L, Alistarh D-A, Zhang C. 2018. Synchronous multi-GPU training for deep learning with low-precision communications: An empirical study. Proceedings of the 21st International Conference on Extending Database Technology. EDBT: Conference on Extending Database Technology, 145–156.
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2018 |
Published |
Conference Paper |
IST-REx-ID: 7123 |
Alistarh D-A, Aspnes J, Gelashvili R. 2018. Space-optimal majority in population protocols. Proceedings of the 29th Annual ACM-SIAM Symposium on Discrete Algorithms. SODA: Symposium on Discrete Algorithms, 2221–2239.
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| arXiv
2018 |
Published |
Journal Article |
IST-REx-ID: 43 |
Rybicki J, Kisdi E, Anttila J. 2018. Model of bacterial toxin-dependent pathogenesis explains infective dose. Proceedings of the National Academy of Sciences of the United States of America. 115(42), 10690–10695.
[Submitted Version]
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2018 |
Published |
Conference Paper |
IST-REx-ID: 6589 |
Alistarh D-A, Hoefler T, Johansson M, Konstantinov NH, Khirirat S, Renggli C. 2018. The convergence of sparsified gradient methods. 32nd Conference on Neural Information Processing Systems. NeurIPS: Conference on Neural Information Processing Systems, Advances in Neural Information Processing Systems, , 5973–5983.
[Preprint]
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| arXiv
2017 |
Published |
Conference Paper |
IST-REx-ID: 487
Baig G, Radunovic B, Alistarh D-A, Balkwill M, Karagiannis T, Qiu L. 2017. Towards unlicensed cellular networks in TV white spaces. Proceedings of the 2017 13th International Conference on emerging Networking EXperiments and Technologies. CoNEXT: Conference on emerging Networking EXperiments and Technologies, 2–14.
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2017 |
Published |
Conference Paper |
IST-REx-ID: 791 |
Alistarh D-A, Kopinsky J, Li J, Nadiradze G. 2017. The power of choice in priority scheduling. Proceedings of the ACM Symposium on Principles of Distributed Computing. PODC: Principles of Distributed Computing vol. Part F129314, 283–292.
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| arXiv
2017 |
Published |
Conference Paper |
IST-REx-ID: 431 |
Alistarh D-A, Grubic D, Li J, Tomioka R, Vojnović M. 2017. QSGD: Communication-efficient SGD via gradient quantization and encoding. NIPS: Neural Information Processing System, Advances in Neural Information Processing Systems, vol. 2017, 1710–1721.
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| arXiv
2017 |
Published |
Conference Paper |
IST-REx-ID: 432 |
Zhang H, Li J, Kara K, Alistarh D-A, Liu J, Zhang C. 2017. ZipML: Training linear models with end-to-end low precision, and a little bit of deep learning. Proceedings of Machine Learning Research. ICML: International Conference on Machine Learning, PMLR Press, vol. 70, 4035–4043.
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