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121 Publications

2020 | Conference Paper | IST-REx-ID: 15074 | OA
Brandt, Sebastian, et al. “Brief Announcement: Efficient Load-Balancing through Distributed Token Dropping.” 34th International Symposium on Distributed Computing, vol. 179, 40, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020, doi:10.4230/LIPIcs.DISC.2020.40.
[Published Version] View | Files available | DOI | arXiv
 
2020 | Conference Paper | IST-REx-ID: 15077 | OA
Alistarh, Dan-Adrian, et al. “Dynamic Averaging Load Balancing on Cycles.” 47th International Colloquium on Automata, Languages, and Programming, vol. 168, 7, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2020, doi:10.4230/LIPIcs.ICALP.2020.7.
[Published Version] View | Files available | DOI | arXiv
 
2020 | Conference Paper | IST-REx-ID: 15086 | OA
Faghri, Fartash, et al. “Adaptive Gradient Quantization for Data-Parallel SGD.” Advances in Neural Information Processing Systems, vol. 33, Neural Information Processing Systems Foundation, 2020.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2019 | Journal Article | IST-REx-ID: 6759 | OA
Jelínek, Vít, and Martin Töpfer. “On Grounded L-Graphs and Their Relatives.” Electronic Journal of Combinatorics, vol. 26, no. 3, P3.17, Electronic Journal of Combinatorics, 2019, doi:10.37236/8096.
[Published Version] View | Files available | DOI | arXiv
 
2019 | Conference Paper | IST-REx-ID: 6931 | OA
Nowak, Thomas, and Joel Rybicki. “Byzantine Approximate Agreement on Graphs.” 33rd International Symposium on Distributed Computing, vol. 146, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2019, p. 29:1--29:17, doi:10.4230/LIPICS.DISC.2019.29.
[Published Version] View | Files available | DOI | arXiv
 
2019 | Conference Paper | IST-REx-ID: 5947 | OA
Chatterjee, Bapi, et al. “A Simple and Practical Concurrent Non-Blocking Unbounded Graph with Linearizable Reachability Queries.” ACM International Conference Proceeding Series, ACM, 2019, pp. 168–77, doi:10.1145/3288599.3288617.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2019 | Conference Poster | IST-REx-ID: 6485
Koval, Nikita, et al. “Lock-Free Channels for Programming via Communicating Sequential Processes.” Proceedings of the 24th Symposium on Principles and Practice of Parallel Programming, ACM Press, 2019, pp. 417–18, doi:10.1145/3293883.3297000.
View | DOI | WoS
 
2019 | Journal Article | IST-REx-ID: 6936 | OA
Ovaskainen, Otso, et al. “What Can Observational Data Reveal about Metacommunity Processes?” Ecography, vol. 42, no. 11, Wiley, 2019, pp. 1877–86, doi:10.1111/ecog.04444.
[Published Version] View | Files available | DOI | WoS
 
2019 | Journal Article | IST-REx-ID: 6972 | OA
Lenzen, Christoph, and Joel Rybicki. “Self-Stabilising Byzantine Clock Synchronisation Is Almost as Easy as Consensus.” Journal of the ACM, vol. 66, no. 5, 32, ACM, 2019, doi:10.1145/3339471.
[Published Version] View | Files available | DOI | WoS | arXiv
 
2019 | Conference Paper | IST-REx-ID: 7122
Khirirat, Sarit, et al. “Gradient Compression for Communication-Limited Convex Optimization.” 2018 IEEE Conference on Decision and Control, 8619625, IEEE, 2019, doi:10.1109/cdc.2018.8619625.
View | DOI | WoS
 
2019 | Conference Paper | IST-REx-ID: 7201 | OA
Renggli, Cedric, et al. “SparCML: High-Performance Sparse Communication for Machine Learning.” International Conference for High Performance Computing, Networking, Storage and Analysis, SC, a11, ACM, 2019, doi:10.1145/3295500.3356222.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2019 | Journal Article | IST-REx-ID: 7214 | OA
Aganezov, Sergey, et al. “Recovering Rearranged Cancer Chromosomes from Karyotype Graphs.” BMC Bioinformatics, vol. 20, 641, BMC, 2019, doi:10.1186/s12859-019-3208-4.
[Published Version] View | Files available | DOI | WoS
 
2019 | Conference Paper | IST-REx-ID: 7228
Koval, Nikita, et al. “Scalable FIFO Channels for Programming via Communicating Sequential Processes.” 25th Anniversary of Euro-Par, vol. 11725, Springer Nature, 2019, pp. 317–33, doi:10.1007/978-3-030-29400-7_23.
View | DOI | WoS
 
2019 | Conference Paper | IST-REx-ID: 7437 | OA
Yu, Chen, et al. “Distributed Learning over Unreliable Networks.” 36th International Conference on Machine Learning, ICML 2019, vol. 2019–June, IMLS, 2019, pp. 12481–512.
[Preprint] View | Download Preprint (ext.) | WoS | arXiv
 
2019 | Conference Paper | IST-REx-ID: 6673 | OA
Alistarh, Dan-Adrian, et al. “Efficiency Guarantees for Parallel Incremental Algorithms under Relaxed Schedulers.” 31st ACM Symposium on Parallelism in Algorithms and Architectures, ACM Press, 2019, pp. 145–54, doi:10.1145/3323165.3323201.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2019 | Conference Paper | IST-REx-ID: 7542 | OA
Wendler, Chris, et al. Powerset Convolutional Neural Networks. Vol. 32, Neural Information Processing Systems Foundation, 2019, pp. 927–38.
[Published Version] View | Download Published Version (ext.) | WoS | arXiv
 
2019 | Conference Paper | IST-REx-ID: 6935 | OA
Foerster, Klaus-Tycho, et al. “Does Preprocessing Help under Congestion?” Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing, ACM, 2019, pp. 259–61, doi:10.1145/3293611.3331581.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2019 | Conference Paper | IST-REx-ID: 6676 | OA
Alistarh, Dan-Adrian, et al. “Why Extension-Based Proofs Fail.” Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, ACM Press, 2019, pp. 986–96, doi:10.1145/3313276.3316407.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2019 | Conference Paper | IST-REx-ID: 6933 | OA
Censor-Hillel, Keren, et al. “Fast Approximate Shortest Paths in the Congested Clique.” Proceedings of the 2019 ACM Symposium on Principles of Distributed Computin, ACM, 2019, pp. 74–83, doi:10.1145/3293611.3331633.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
2018 | Journal Article | IST-REx-ID: 536 | OA
Alistarh, Dan-Adrian, et al. “Communication-Efficient Randomized Consensus.” Distributed Computing, vol. 31, no. 6, Springer, 2018, pp. 489–501, doi:10.1007/s00446-017-0315-1.
[Published Version] View | Files available | DOI
 

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