Czumaj A, Davies P, Parter M. Improved deterministic (+1) coloring in low-space MPC. In: Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing. Association for Computing Machinery; 2021:469–479. doi:10.1145/3465084.3467937
LibreCat: https://research-explorer.ista.ac.at/record/9935
DOI: 10.1145/3465084.3467937
WoS: 000744439800048

Czumaj A, Davies P, Parter M. Component stability in low-space massively parallel computation. In: Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing. Association for Computing Machinery; 2021:481–491. doi:10.1145/3465084.3467903
LibreCat: https://research-explorer.ista.ac.at/record/9933
DOI: 10.1145/3465084.3467903
WoS: 000744439800049
arXiv: 2106.01880

Nadiradze G, Markov I, Chatterjee B, Kungurtsev V, Alistarh D-A. Elastic consistency: A practical consistency model for distributed stochastic gradient descent. In: Proceedings of the AAAI Conference on Artificial Intelligence. Vol 35. ; 2021:9037-9045.
LibreCat: https://research-explorer.ista.ac.at/record/10432
arXiv: 2001.05918

Klein K, Pascual Perez G, Walter M, et al. Keep the dirt: tainted TreeKEM, adaptively and actively secure continuous group key agreement. In: 2021 IEEE Symposium on Security and Privacy . IEEE; 2021:268-284. doi:10.1109/sp40001.2021.00035
LibreCat: https://research-explorer.ista.ac.at/record/10049
DOI: 10.1109/sp40001.2021.00035

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
LibreCat: https://research-explorer.ista.ac.at/record/10854
DOI: 10.1145/3410220.3453923
arXiv: 2005.07637

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
LibreCat: https://research-explorer.ista.ac.at/record/10855
DOI: 10.1145/3447384
arXiv: 2005.07637

Nadiradze G. On achieving scalability through relaxation. 2021. doi:10.15479/at:ista:10429
LibreCat: https://research-explorer.ista.ac.at/record/10429
DOI: 10.15479/at:ista:10429

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.
LibreCat: https://research-explorer.ista.ac.at/record/10435
arXiv: 1910.12308

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
LibreCat: https://research-explorer.ista.ac.at/record/9541
DOI: 10.1145/3451992
WoS: 000661311300006
arXiv: 1912.05390

Brandt S, Keller B, Rybicki J, Suomela J, Uitto J. Efficient load-balancing through distributed token dropping. In: Annual ACM Symposium on Parallelism in Algorithms and Architectures. ; 2021:129-139. doi:10.1145/3409964.3461785
LibreCat: https://research-explorer.ista.ac.at/record/9678
DOI: 10.1145/3409964.3461785
arXiv: 2005.07761

Ramezani-Kebrya A, Faghri F, Markov I, Aksenov V, Alistarh D-A, Roy DM. NUQSGD: Provably communication-efficient data-parallel SGD via nonuniform quantization. Journal of Machine Learning Research. 2021;22(114):143.
LibreCat: https://research-explorer.ista.ac.at/record/9571
arXiv: 1908.06077

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
LibreCat: https://research-explorer.ista.ac.at/record/7939
DOI: 10.1007/s00446-020-00380-5
WoS: 000556444600001
arXiv: 1903.05956

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
LibreCat: https://research-explorer.ista.ac.at/record/15271
DOI: 10.1137/20m1366502

Czumaj A, Davies P. Exploiting spontaneous transmissions for broadcasting and leader election in radio networks. Journal of the ACM. 2021;68(2). doi:10.1145/3446383
LibreCat: https://research-explorer.ista.ac.at/record/15267
DOI: 10.1145/3446383
arXiv: 1703.01859

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.
LibreCat: https://research-explorer.ista.ac.at/record/15263
arXiv: 2002.04144

Arbel-Raviv M, Brown TA, Morrison A. Getting to the root of concurrent binary search tree performance. In: Proceedings of the 2018 USENIX Annual Technical Conference. USENIX Association; 2020:295-306.
LibreCat: https://research-explorer.ista.ac.at/record/7272

Alistarh D-A, Fedorov A, Koval N. In search of the fastest concurrent union-find algorithm. In: 23rd International Conference on Principles of Distributed Systems. Vol 153. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2020:15:1-15:16. doi:10.4230/LIPIcs.OPODIS.2019.15
LibreCat: https://research-explorer.ista.ac.at/record/7605
DOI: 10.4230/LIPIcs.OPODIS.2019.15
arXiv: 1911.06347

Czumaj A, Davies P, Parter M. Simple, deterministic, constant-round coloring in the congested clique. In: Proceedings of the 2020 ACM Symposium on Principles of Distributed Computing. Association for Computing Machinery; 2020:309-318. doi:10.1145/3382734.3405751
LibreCat: https://research-explorer.ista.ac.at/record/7803
DOI: 10.1145/3382734.3405751
arXiv: 2009.06043

Aksenov V, Alistarh D-A, Drozdova A, Mohtashami A. The splay-list: A distribution-adaptive concurrent skip-list. In: 34th International Symposium on Distributed Computing. Vol 179. LIPIcs. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2020:3:1-3:18. doi:10.4230/LIPIcs.DISC.2020.3
LibreCat: https://research-explorer.ista.ac.at/record/8725
DOI: 10.4230/LIPIcs.DISC.2020.3
arXiv: 2008.01009

Singh SP, Alistarh D-A. WoodFisher: Efficient second-order approximation for neural network compression. In: Advances in Neural Information Processing Systems. Vol 33. Curran Associates; 2020:18098-18109.
LibreCat: https://research-explorer.ista.ac.at/record/9632
arXiv: 2004.14340