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117 Publications
2022 | Research Data Reference | IST-REx-ID: 13076 | 
Postnikova A, Koval N, Nadiradze G, Alistarh D-A. Multi-queues can be state-of-the-art priority schedulers. 2022. doi:10.5281/ZENODO.5733408
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2022 | Published | Conference Paper | IST-REx-ID: 11180 |
Postnikova A, Koval N, Nadiradze G, Alistarh D-A. Multi-queues can be state-of-the-art priority schedulers. In: Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. Association for Computing Machinery; 2022:353-367. doi:10.1145/3503221.3508432
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2022 | Published | Conference Paper | IST-REx-ID: 11181 |
Brown TA, Sigouin W, Alistarh D-A. PathCAS: An efficient middle ground for concurrent search data structures. In: Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming. Association for Computing Machinery; 2022:385-399. doi:10.1145/3503221.3508410
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2022 | Published | Conference Paper | IST-REx-ID: 11183 |
Nikabadi A, Korhonen J. Beyond distributed subgraph detection: Induced subgraphs, multicolored problems and graph parameters. In: Bramas Q, Gramoli V, Milani A, eds. 25th International Conference on Principles of Distributed Systems. Vol 217. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2022. doi:10.4230/LIPIcs.OPODIS.2021.15
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2022 | Published | Conference Paper | IST-REx-ID: 11184 |
Alistarh D-A, Gelashvili R, Rybicki J. Fast graphical population protocols. In: Bramas Q, Gramoli V, Milani A, eds. 25th International Conference on Principles of Distributed Systems. Vol 217. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2022. doi:10.4230/LIPIcs.OPODIS.2021.14
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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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2022 | Published | Conference Paper | IST-REx-ID: 11707 |
Balliu A, Hirvonen J, Melnyk D, Olivetti D, Rybicki J, Suomela J. Local mending. In: Parter M, ed. International Colloquium on Structural Information and Communication Complexity. Vol 13298. LNCS. Springer Nature; 2022:1-20. doi:10.1007/978-3-031-09993-9_1
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2022 | Published | Conference Paper | IST-REx-ID: 11844 |
Alistarh D-A, Rybicki J, Voitovych S. Near-optimal leader election in population protocols on graphs. In: Proceedings of the Annual ACM Symposium on Principles of Distributed Computing. Association for Computing Machinery; 2022:246-256. doi:10.1145/3519270.3538435
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2022 | Published | Conference Paper | IST-REx-ID: 12182 |
Pacut M, Parham M, Rybicki J, Schmid S, Suomela J, Tereshchenko A. Brief announcement: Temporal locality in online algorithms. In: 36th International Symposium on Distributed Computing. Vol 246. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2022. doi:10.4230/LIPIcs.DISC.2022.52
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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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2021 | Published | Journal Article | IST-REx-ID: 8286 |
Alistarh D-A, Nadiradze G, Sabour A. Dynamic averaging load balancing on cycles. Algorithmica. 2021. doi:10.1007/s00453-021-00905-9
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2021 | Published | 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 | 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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2021 | Published | Conference Paper | IST-REx-ID: 11436 |
Kungurtsev V, Egan M, Chatterjee B, Alistarh D-A. Asynchronous optimization methods for efficient training of deep neural networks with guarantees. In: 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Vol 35. AAAI Press; 2021:8209-8216.
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2021 | Published | Conference Paper | IST-REx-ID: 11452 |
Alimisis F, Davies P, Vandereycken B, Alistarh D-A. Distributed principal component analysis with limited communication. In: Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems. Vol 4. Neural Information Processing Systems Foundation; 2021:2823-2834.
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2021 | Published | Conference Paper | IST-REx-ID: 11458 |
Peste E-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. Curran Associates; 2021:8557-8570.
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2021 | Published | 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. Curran Associates; 2021:14873-14886.
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2021 | Published | 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. Curran Associates; 2021:7254-7266.
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2021 | Published | 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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2021 | Published | Conference Paper | IST-REx-ID: 9543 |
Davies P, Gurunanthan V, Moshrefi N, Ashkboos S, Alistarh D-A. New bounds for distributed mean estimation and variance reduction. In: 9th International Conference on Learning Representations. ; 2021.
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