Alistarh, Dan-Adrian, et al. “Dynamic Averaging Load Balancing on Cycles.”10.1007/s00453-021-00905-9__Algorithmica, vol. 84, no. 4, Springer Nature, 2022, pp. 1007–29, doi:10.1007/s00453-021-00905-9.
LibreCat: https://research-explorer.ista.ac.at/record/8286
DOI: 10.1007/s00453-021-00905-9
WoS: 000734004600001
arXiv: 2003.09297

Hoefler, Torsten, et al. “Sparsity in Deep Learning: Pruning and Growth for Efficient Inference and Training in Neural Networks.” Journal of Machine Learning Research, vol. 22, no. 241, Journal of Machine Learning Research, 2021, pp. 1–124.
LibreCat: https://research-explorer.ista.ac.at/record/10180
arXiv: 2102.00554

Alistarh, Dan-Adrian, et al. “Brief Announcement: Fast Graphical Population Protocols.”10.4230/LIPIcs.DISC.2021.43__35th International Symposium on Distributed Computing, vol. 209, 43, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021, doi:10.4230/LIPIcs.DISC.2021.43.
LibreCat: https://research-explorer.ista.ac.at/record/10218
DOI: 10.4230/LIPIcs.DISC.2021.43
arXiv: 2102.08808

Alistarh, Dan-Adrian, et al. “Lower Bounds for Shared-Memory Leader Election under Bounded Write Contention.”10.4230/LIPIcs.DISC.2021.4__35th International Symposium on Distributed Computing, vol. 209, 4, Schloss Dagstuhl - Leibniz Zentrum für Informatik, 2021, doi:10.4230/LIPIcs.DISC.2021.4.
LibreCat: https://research-explorer.ista.ac.at/record/10217
DOI: 10.4230/LIPIcs.DISC.2021.4

Chatterjee, Bapi, et al. “Brief Announcement: Non-Blocking Dynamic Unbounded Graphs with Worst-Case Amortized Bounds.”10.4230/LIPIcs.DISC.2021.52__35th International Symposium on Distributed Computing, vol. 209, 52, Schloss Dagstuhl - Leibniz Zentrum für Informatik, 2021, doi:10.4230/LIPIcs.DISC.2021.52.
LibreCat: https://research-explorer.ista.ac.at/record/10216
DOI: 10.4230/LIPIcs.DISC.2021.52
arXiv: 2003.01697

Korhonen, Janne, et al. “Brief Announcement: Sinkless Orientation Is Hard Also in the Supported LOCAL Model.”10.4230/LIPIcs.DISC.2021.58__35th International Symposium on Distributed Computing, vol. 209, 58, Schloss Dagstuhl - Leibniz Zentrum für Informatik, 2021, doi:10.4230/LIPIcs.DISC.2021.58.
LibreCat: https://research-explorer.ista.ac.at/record/10219
DOI: 10.4230/LIPIcs.DISC.2021.58
arXiv: 2108.02655

Fedorov, Alexander, et al. “A Scalable Concurrent Algorithm for Dynamic Connectivity.”10.1145/3409964.3461810__Proceedings of the 33rd ACM Symposium on Parallelism in Algorithms and Architectures, Association for Computing Machinery, 2021, pp. 208–20, doi:10.1145/3409964.3461810.
LibreCat: https://research-explorer.ista.ac.at/record/10853
DOI: 10.1145/3409964.3461810
arXiv: 2105.08098

Kungurtsev, Vyacheslav, et al. “Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees.” 35th AAAI Conference on Artificial Intelligence, AAAI 2021, vol. 35, no. 9B, AAAI Press, 2021, pp. 8209–16.
LibreCat: https://research-explorer.ista.ac.at/record/11436
arXiv: 1905.11845

Alimisis, Foivos, et al. “Distributed Principal Component Analysis with Limited Communication.” Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, vol. 4, Neural Information Processing Systems Foundation, 2021, pp. 2823–34.
LibreCat: https://research-explorer.ista.ac.at/record/11452
arXiv: 2110.14391

Frantar, Elias, et al. “M-FAC: Efficient Matrix-Free Approximations of Second-Order Information.” 35th Conference on Neural Information Processing Systems, vol. 34, Curran Associates, 2021, pp. 14873–86.
LibreCat: https://research-explorer.ista.ac.at/record/11463
arXiv: 2010.08222

Alistarh, Dan-Adrian, and Janne Korhonen. “Towards Tight Communication Lower Bounds for Distributed Optimisation.” 35th Conference on Neural Information Processing Systems, vol. 34, Curran Associates, 2021, pp. 7254–66.
LibreCat: https://research-explorer.ista.ac.at/record/11464
arXiv: 2010.08222

Davies, Peter, et al. “New Bounds for Distributed Mean Estimation and Variance Reduction.” 9th International Conference on Learning Representations, 2021.
LibreCat: https://research-explorer.ista.ac.at/record/9543
arXiv: 2002.09268

Alistarh, Dan-Adrian, and Peter Davies. “Collecting Coupons Is Faster with Friends.”10.1007/978-3-030-79527-6_1__Structural Information and Communication Complexity, vol. 12810, Springer Nature, 2021, pp. 3–12, doi:10.1007/978-3-030-79527-6_1.
LibreCat: https://research-explorer.ista.ac.at/record/9620
DOI: 10.1007/978-3-030-79527-6_1

Alistarh, Dan-Adrian, et al. “Wait-Free Approximate Agreement on Graphs.”10.1007/978-3-030-79527-6_6__Structural Information and Communication Complexity, vol. 12810, Springer Nature, 2021, pp. 87–105, doi:10.1007/978-3-030-79527-6_6.
LibreCat: https://research-explorer.ista.ac.at/record/9823
DOI: 10.1007/978-3-030-79527-6_6
arXiv: 2103.08949

Peste, Elena-Alexandra, et al. “AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks.” 35th Conference on Neural Information Processing Systems, vol. 34, Curran Associates, 2021, pp. 8557–70.
LibreCat: https://research-explorer.ista.ac.at/record/11458
arXiv: 2106.12379

Alimisis, Foivos, et al. “Communication-Efficient Distributed Optimization with Quantized Preconditioners.” Proceedings of the 38th International Conference on Machine Learning, vol. 139, ML Research Press, 2021, pp. 196–206.
LibreCat: https://research-explorer.ista.ac.at/record/13147
arXiv: 2102.07214

Li, Shigang, et al. “Breaking (Global) Barriers in Parallel Stochastic Optimization with Wait-Avoiding Group Averaging.”10.1109/TPDS.2020.3040606__IEEE Transactions on Parallel and Distributed Systems, vol. 32, no. 7, 9271898, IEEE, 2021, doi:10.1109/TPDS.2020.3040606.
LibreCat: https://research-explorer.ista.ac.at/record/8723
DOI: 10.1109/TPDS.2020.3040606
WoS: 000621405200019
arXiv: 2005.00124

Chatterjee, Bapi, et al. “Concurrent Linearizable Nearest Neighbour Search in LockFree-KD-Tree.”10.1016/j.tcs.2021.06.041__Theoretical Computer Science, vol. 886, Elsevier, 2021, pp. 27–48, doi:10.1016/j.tcs.2021.06.041.
LibreCat: https://research-explorer.ista.ac.at/record/9827
DOI: 10.1016/j.tcs.2021.06.041
WoS: 000694718900004

Alistarh, Dan-Adrian, et al. “Comparison Dynamics in Population Protocols.”10.1145/3465084.3467915__Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing, Association for Computing Machinery, 2021, pp. 55–65, doi:10.1145/3465084.3467915.
LibreCat: https://research-explorer.ista.ac.at/record/9951
DOI: 10.1145/3465084.3467915
WoS: 000744439800005

Czumaj, Artur, et al. “Improved Deterministic (+1) Coloring in Low-Space MPC.”10.1145/3465084.3467937__Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing, Association for Computing Machinery, 2021, pp. 469–479, doi:10.1145/3465084.3467937.
LibreCat: https://research-explorer.ista.ac.at/record/9935
DOI: 10.1145/3465084.3467937
WoS: 000744439800048