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122 Publications
2021 | Conference Paper | IST-REx-ID: 13147 | 
Alimisis, Foivos, Peter Davies, and Dan-Adrian Alistarh. “Communication-Efficient Distributed Optimization with Quantized Preconditioners.” In Proceedings of the 38th International Conference on Machine Learning, 139:196–206. ML Research Press, 2021.
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| arXiv
2021 | Journal Article | IST-REx-ID: 8723 |
Li, Shigang, Tal Ben-Nun Tal Ben-Nun, Giorgi Nadiradze, Salvatore Di Girolamo, Nikoli Dryden, Dan-Adrian Alistarh, and Torsten Hoefler. “Breaking (Global) Barriers in Parallel Stochastic Optimization with Wait-Avoiding Group Averaging.” IEEE Transactions on Parallel and Distributed Systems. IEEE, 2021. https://doi.org/10.1109/TPDS.2020.3040606.
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| arXiv
2021 | Journal Article | IST-REx-ID: 9827 |
Chatterjee, Bapi, Ivan Walulya, and Philippas Tsigas. “Concurrent Linearizable Nearest Neighbour Search in LockFree-KD-Tree.” Theoretical Computer Science. Elsevier, 2021. https://doi.org/10.1016/j.tcs.2021.06.041.
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2021 | Conference Paper | IST-REx-ID: 9951
Alistarh, Dan-Adrian, Martin Töpfer, and Przemysław Uznański. “Comparison Dynamics in Population Protocols.” In Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing, 55–65. Association for Computing Machinery, 2021. https://doi.org/10.1145/3465084.3467915.
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2021 | Conference Paper | IST-REx-ID: 9935 |
Czumaj, Artur, Peter Davies, and Merav Parter. “Improved Deterministic (Δ+1) Coloring in Low-Space MPC.” In Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing, 469–479. Association for Computing Machinery, 2021. https://doi.org/10.1145/3465084.3467937.
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