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121 Publications


2018 | Conference Paper | IST-REx-ID: 6558 | OA
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.
[Published Version] View | Download Published Version (ext.) | WoS | arXiv
 

2018 | Conference Paper | IST-REx-ID: 6589 | OA
Alistarh, Dan-Adrian, et al. “The Convergence of Sparsified Gradient Methods.” Advances in Neural Information Processing Systems 31, vol. Volume 2018, Neural Information Processing Systems Foundation, 2018, pp. 5973–83.
[Preprint] View | Download Preprint (ext.) | WoS | arXiv
 

2017 | 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.
View | DOI
 

2017 | Conference Paper | IST-REx-ID: 791 | OA
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.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 

2017 | Conference Paper | IST-REx-ID: 431 | OA
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.
[Submitted Version] View | Download Submitted Version (ext.) | arXiv
 

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