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Ionut-Vlad Modoranu

Eldar Kurtic

Eugenia Iofinova

Dan Alistarh

Mher Safaryan

Jiale Chen

Sergei Pankratov

Vage Egiazarian

Alexander Fedorov

Roberto Lopez Castro

Soroush Tabesh

Andrei Panferov

Alexandra Volkova

Mahdi Nikdan

Peter Davies

Joel Rybicki

Elvir Crncevic

Alexandra Krumes

Sidak Singh

Sharareh Alipour

Elias Frantar

Bapi Chatterjee

Vitalii Aksenov

Sokolova, Mariia

Martin Töpfer

Trevor Brown

Giorgi Nadiradze

Janne Korhonen

Ilia Markov



152 Publications

2021 | Published | Journal Article | IST-REx-ID: 7939 | OA
Fast approximate shortest paths in the congested clique
K. Censor-Hillel, M. Dory, J. Korhonen, D. Leitersdorf, Distributed Computing 34 (2021) 463–487.
[Published Version] View | Files available | DOI | Download Published Version (ext.) | WoS | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 9933 | OA
Component stability in low-space massively parallel computation
A. Czumaj, P. Davies, M. Parter, in:, Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing, Association for Computing Machinery, 2021, pp. 481–491.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 9935 | OA
Improved deterministic (Δ+1) coloring in low-space MPC
A. Czumaj, P. Davies, M. Parter, in:, Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing, Association for Computing Machinery, 2021, pp. 469–479.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
2021 | Published | Journal Article | IST-REx-ID: 9541 | OA
Graph sparsification for derandomizing massively parallel computation with low space
A. Czumaj, P. Davies, M. Parter, ACM Transactions on Algorithms 17 (2021).
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.) | WoS | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 11436 | OA
Asynchronous optimization methods for efficient training of deep neural networks with guarantees
V. Kungurtsev, M. Egan, B. Chatterjee, D.-A. Alistarh, in:, 35th AAAI Conference on Artificial Intelligence, AAAI 2021, AAAI Press, 2021, pp. 8209–8216.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 10435 | OA
Asynchronous decentralized SGD with quantized and local updates
G. Nadiradze, A. Sabour, P. Davies, S. Li, D.-A. Alistarh, in:, 35th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2021.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 11452 | OA
Distributed principal component analysis with limited communication
F. Alimisis, P. Davies, B. Vandereycken, D.-A. Alistarh, in:, Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2021, pp. 2823–2834.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 10432 | OA
Elastic consistency: A practical consistency model for distributed stochastic gradient descent
G. Nadiradze, I. Markov, B. Chatterjee, V. Kungurtsev, D.-A. Alistarh, in:, Proceedings of the AAAI Conference on Artificial Intelligence, 2021, pp. 9037–9045.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 10049 | OA
Keep the dirt: tainted TreeKEM, adaptively and actively secure continuous group key agreement
K. Klein, G. Pascual Perez, M. Walter, C. Kamath Hosdurg, M. Capretto, M. Cueto Noval, I. Markov, M.X. Yeo, J.F. Alwen, K.Z. Pietrzak, in:, 2021 IEEE Symposium on Security and Privacy , IEEE, 2021, pp. 268–284.
[Preprint] View | Files available | DOI | Download Preprint (ext.)
 
2021 | Published | Conference Paper | IST-REx-ID: 11458 | OA
AC/DC: Alternating Compressed/DeCompressed training of deep neural networks
A. Krumes, E.B. Iofinova, A. Vladu, D.-A. Alistarh, in:, 35th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2021, pp. 8557–8570.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 11463 | OA
M-FAC: Efficient matrix-free approximations of second-order information
E. Frantar, E. Kurtic, D.-A. Alistarh, in:, 35th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2021, pp. 14873–14886.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 11464 | OA
Towards tight communication lower bounds for distributed optimisation
D.-A. Alistarh, J. Korhonen, in:, 35th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2021, pp. 7254–7266.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2021 | Published | Journal Article | IST-REx-ID: 15271
Simple, deterministic, constant-round coloring in congested clique and MPC
A. Czumaj, P. Davies, M. Parter, SIAM Journal on Computing 50 (2021) 1603–1626.
View | DOI
 
2021 | Published | Conference Paper | IST-REx-ID: 10219 | OA
Brief announcement: Sinkless orientation is hard also in the supported LOCAL model
J. Korhonen, A. Paz, J. Rybicki, S. Schmid, J. Suomela, in:, 35th International Symposium on Distributed Computing, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021.
[Published Version] View | Files available | DOI | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 10217 | OA
Lower bounds for shared-memory leader election under bounded write contention
D.-A. Alistarh, R. Gelashvili, G. Nadiradze, in:, 35th International Symposium on Distributed Computing, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021.
[Published Version] View | Files available | DOI
 
2021 | Published | Conference Paper | IST-REx-ID: 10216 | OA
Brief announcement: Non-blocking dynamic unbounded graphs with worst-case amortized bounds
B. Chatterjee, S. Peri, M. Sa, in:, 35th International Symposium on Distributed Computing, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021.
[Published Version] View | Files available | DOI | arXiv
 
2021 | Published | Thesis | IST-REx-ID: 10429 | OA
On achieving scalability through relaxation
G. Nadiradze, On Achieving Scalability through Relaxation, Institute of Science and Technology Austria, 2021.
[Published Version] View | Files available | DOI
 
2021 | Published | Journal Article | IST-REx-ID: 10180 | OA
Sparsity in deep learning: Pruning and growth for efficient inference and training in neural networks
T. Hoefler, D.-A. Alistarh, T. Ben-Nun, N. Dryden, A. Krumes, Journal of Machine Learning Research 22 (2021) 1–124.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
2021 | Published | Conference Paper | IST-REx-ID: 13147 | OA
Communication-efficient distributed optimization with quantized preconditioners
F. Alimisis, P. Davies, D.-A. Alistarh, in:, Proceedings of the 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 196–206.
[Published Version] View | Files available | arXiv
 
2021 | Published | Journal Article | IST-REx-ID: 8723 | OA
Breaking (global) barriers in parallel stochastic optimization with wait-avoiding group averaging
S. Li, T.B.-N. Tal Ben-Nun, G. Nadiradze, S.D. Girolamo, N. Dryden, D.-A. Alistarh, T. Hoefler, IEEE Transactions on Parallel and Distributed Systems 32 (2021).
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

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