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174 Publications
2022 |
Published |
Conference Paper |
IST-REx-ID: 12780 |
Markov I, Ramezanikebrya H, Alistarh D-A. CGX: Adaptive system support for communication-efficient deep learning. In: Proceedings of the 23rd ACM/IFIP International Middleware Conference. Association for Computing Machinery; 2022:241-254. doi:10.1145/3528535.3565248
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| arXiv
2022 |
Published |
Journal Article |
IST-REx-ID: 11420 |
Shevchenko A, Kungurtsev V, Mondelli M. Mean-field analysis of piecewise linear solutions for wide ReLU networks. Journal of Machine Learning Research. 2022;23(130):1-55.
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10853 |
Fedorov A, Koval N, Alistarh D-A. A scalable concurrent algorithm for dynamic connectivity. In: Proceedings of the 33rd ACM Symposium on Parallelism in Algorithms and Architectures. Association for Computing Machinery; 2021:208-220. doi:10.1145/3409964.3461810
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| arXiv
2021 |
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Conference Paper |
IST-REx-ID: 10854 |
Foerster K-T, Korhonen J, Paz A, Rybicki J, Schmid S. Input-dynamic distributed algorithms for communication networks. In: Abstract Proceedings of the 2021 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems. Association for Computing Machinery; 2021:71-72. doi:10.1145/3410220.3453923
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| arXiv
2021 |
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Journal Article |
IST-REx-ID: 10855 |
Foerster K-T, Korhonen J, Paz A, Rybicki J, Schmid S. Input-dynamic distributed algorithms for communication networks. Proceedings of the ACM on Measurement and Analysis of Computing Systems. 2021;5(1):1-33. doi:10.1145/3447384
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| arXiv
2021 |
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Conference Paper |
IST-REx-ID: 11458 |
Krumes A, Iofinova EB, Vladu A, Alistarh D-A. AC/DC: Alternating Compressed/DeCompressed training of deep neural networks. In: 35th Conference on Neural Information Processing Systems. Vol 34. Neural Information Processing Systems Foundation; 2021:8557-8570.
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| arXiv
2021 |
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Conference Paper |
IST-REx-ID: 11463 |
Frantar E, Kurtic E, Alistarh D-A. M-FAC: Efficient matrix-free approximations of second-order information. In: 35th Conference on Neural Information Processing Systems. Vol 34. Neural Information Processing Systems Foundation; 2021:14873-14886.
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| arXiv
2021 |
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Conference Paper |
IST-REx-ID: 11464 |
Alistarh D-A, Korhonen J. Towards tight communication lower bounds for distributed optimisation. In: 35th Conference on Neural Information Processing Systems. Vol 34. Neural Information Processing Systems Foundation; 2021:7254-7266.
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 13147 |
Alimisis F, Davies P, Alistarh D-A. Communication-efficient distributed optimization with quantized preconditioners. In: Proceedings of the 38th International Conference on Machine Learning. Vol 139. ML Research Press; 2021:196-206.
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| arXiv
2021 |
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Conference Paper |
IST-REx-ID: 15263 |
Alimisis F, Orvieto A, Becigneul G, Lucchi A. Momentum improves optimization on Riemannian manifolds. In: Proceedings of the 24th International Conference on Artificial Intelligence and Statistics. Vol 130. ML Research Press; 2021:1351-1359.
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| arXiv
2021 |
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Journal Article |
IST-REx-ID: 15271
Czumaj A, Davies P, Parter M. Simple, deterministic, constant-round coloring in congested clique and MPC. SIAM Journal on Computing. 2021;50(5):1603-1626. doi:10.1137/20m1366502
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2021 |
Published |
Journal Article |
IST-REx-ID: 10180 |
Hoefler T, Alistarh D-A, Ben-Nun T, Dryden N, Krumes A. Sparsity in deep learning: Pruning and growth for efficient inference and training in neural networks. Journal of Machine Learning Research. 2021;22(241):1-124.
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| arXiv
2021 |
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Conference Paper |
IST-REx-ID: 10216 |
Chatterjee B, Peri S, Sa M. Brief announcement: Non-blocking dynamic unbounded graphs with worst-case amortized bounds. In: 35th International Symposium on Distributed Computing. Vol 209. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2021. doi:10.4230/LIPIcs.DISC.2021.52
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2021 |
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Conference Paper |
IST-REx-ID: 10217 |
Alistarh D-A, Gelashvili R, Nadiradze G. Lower bounds for shared-memory leader election under bounded write contention. In: 35th International Symposium on Distributed Computing. Vol 209. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2021. doi:10.4230/LIPIcs.DISC.2021.4
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2021 |
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Conference Paper |
IST-REx-ID: 10218 |
Alistarh D-A, Gelashvili R, Rybicki J. Brief announcement: Fast graphical population protocols. In: 35th International Symposium on Distributed Computing. Vol 209. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2021. doi:10.4230/LIPIcs.DISC.2021.43
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| arXiv
2021 |
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Conference Paper |
IST-REx-ID: 10219 |
Korhonen J, Paz A, Rybicki J, Schmid S, Suomela J. Brief announcement: Sinkless orientation is hard also in the supported LOCAL model. In: 35th International Symposium on Distributed Computing. Vol 209. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2021. doi:10.4230/LIPIcs.DISC.2021.58
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 10435 |
Nadiradze G, Sabour A, Davies P, Li S, Alistarh D-A. Asynchronous decentralized SGD with quantized and local updates. In: 35th Conference on Neural Information Processing Systems. Neural Information Processing Systems Foundation; 2021.
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| arXiv
2021 |
Published |
Journal Article |
IST-REx-ID: 7939 |
Censor-Hillel K, Dory M, Korhonen J, Leitersdorf D. Fast approximate shortest paths in the congested clique. Distributed Computing. 2021;34:463-487. doi:10.1007/s00446-020-00380-5
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| arXiv
2021 |
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Journal Article |
IST-REx-ID: 8723 |
Li S, Tal Ben-Nun TB-N, Nadiradze G, et al. Breaking (global) barriers in parallel stochastic optimization with wait-avoiding group averaging. IEEE Transactions on Parallel and Distributed Systems. 2021;32(7). doi:10.1109/TPDS.2020.3040606
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2021 |
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Journal Article |
IST-REx-ID: 9541 |
Czumaj A, Davies P, Parter M. Graph sparsification for derandomizing massively parallel computation with low space. ACM Transactions on Algorithms. 2021;17(2). doi:10.1145/3451992
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