Peter Davies

Alistarh Group

11 Publications

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[11]
2021 | Conference Paper | IST-REx-ID: 11452 | OA
F. Alimisis, P. Davies, B. Vandereycken, and D.-A. Alistarh, “Distributed principal component analysis with limited communication,” in Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, Virtual, Online, 2021, vol. 4, pp. 2823–2834.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[10]
2021 | Conference Paper | IST-REx-ID: 9543 | OA
P. Davies, V. Gurunanthan, N. Moshrefi, S. Ashkboos, and D.-A. Alistarh, “New bounds for distributed mean estimation and variance reduction,” in 9th International Conference on Learning Representations, Virtual, 2021.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[9]
2021 | Conference Paper | IST-REx-ID: 9620 | OA
D.-A. Alistarh and P. Davies, “Collecting coupons is faster with friends,” in Structural Information and Communication Complexity, Wrocław, Poland, 2021, vol. 12810, pp. 3–12.
[Preprint] View | Files available | DOI
 
[8]
2021 | Conference Paper | IST-REx-ID: 13147 | OA
F. Alimisis, P. Davies, and D.-A. Alistarh, “Communication-efficient distributed optimization with quantized preconditioners,” in Proceedings of the 38th International Conference on Machine Learning, Virtual, 2021, vol. 139, pp. 196–206.
[Published Version] View | Files available | arXiv
 
[7]
2021 | Conference Paper | IST-REx-ID: 9935 | OA
A. Czumaj, P. Davies, and M. Parter, “Improved deterministic (Δ+1) coloring in low-space MPC,” in Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing, Virtual, Italy, 2021, pp. 469–479.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[6]
2021 | Conference Paper | IST-REx-ID: 9933 | OA
A. Czumaj, P. Davies, and M. Parter, “Component stability in low-space massively parallel computation,” in Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing, Virtual, Italy, 2021, pp. 481–491.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS | arXiv
 
[5]
2021 | Conference Paper | IST-REx-ID: 10435 | OA
G. Nadiradze, A. Sabour, P. Davies, S. Li, and D.-A. Alistarh, “Asynchronous decentralized SGD with quantized and local updates,” in 35th Conference on Neural Information Processing Systems, Sydney, Australia, 2021.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[4]
2021 | Journal Article | IST-REx-ID: 9541 | OA
A. Czumaj, P. Davies, and M. Parter, “Graph sparsification for derandomizing massively parallel computation with low space,” ACM Transactions on Algorithms, vol. 17, no. 2. Association for Computing Machinery, 2021.
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.) | WoS | arXiv
 
[3]
2021 | Journal Article | IST-REx-ID: 15271
A. Czumaj, P. Davies, and M. Parter, “Simple, deterministic, constant-round coloring in congested clique and MPC,” SIAM Journal on Computing, vol. 50, no. 5. Society for Industrial & Applied Mathematics, pp. 1603–1626, 2021.
View | DOI
 
[2]
2020 | Conference Paper | IST-REx-ID: 7803 | OA
A. Czumaj, P. Davies, and M. Parter, “Simple, deterministic, constant-round coloring in the congested clique,” in Proceedings of the 2020 ACM Symposium on Principles of Distributed Computing, Salerno, Italy, 2020, pp. 309–318.
[Submitted Version] View | Files available | DOI | arXiv
 
[1]
2020 | Conference Paper | IST-REx-ID: 7802 | OA
A. Czumaj, P. Davies, and M. Parter, “Graph sparsification for derandomizing massively parallel computation with low space,” in Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2020), Virtual Event, United States, 2020, no. 7, pp. 175–185.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
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11 Publications

Mark all

[11]
2021 | Conference Paper | IST-REx-ID: 11452 | OA
F. Alimisis, P. Davies, B. Vandereycken, and D.-A. Alistarh, “Distributed principal component analysis with limited communication,” in Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, Virtual, Online, 2021, vol. 4, pp. 2823–2834.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[10]
2021 | Conference Paper | IST-REx-ID: 9543 | OA
P. Davies, V. Gurunanthan, N. Moshrefi, S. Ashkboos, and D.-A. Alistarh, “New bounds for distributed mean estimation and variance reduction,” in 9th International Conference on Learning Representations, Virtual, 2021.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[9]
2021 | Conference Paper | IST-REx-ID: 9620 | OA
D.-A. Alistarh and P. Davies, “Collecting coupons is faster with friends,” in Structural Information and Communication Complexity, Wrocław, Poland, 2021, vol. 12810, pp. 3–12.
[Preprint] View | Files available | DOI
 
[8]
2021 | Conference Paper | IST-REx-ID: 13147 | OA
F. Alimisis, P. Davies, and D.-A. Alistarh, “Communication-efficient distributed optimization with quantized preconditioners,” in Proceedings of the 38th International Conference on Machine Learning, Virtual, 2021, vol. 139, pp. 196–206.
[Published Version] View | Files available | arXiv
 
[7]
2021 | Conference Paper | IST-REx-ID: 9935 | OA
A. Czumaj, P. Davies, and M. Parter, “Improved deterministic (Δ+1) coloring in low-space MPC,” in Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing, Virtual, Italy, 2021, pp. 469–479.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[6]
2021 | Conference Paper | IST-REx-ID: 9933 | OA
A. Czumaj, P. Davies, and M. Parter, “Component stability in low-space massively parallel computation,” in Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing, Virtual, Italy, 2021, pp. 481–491.
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS | arXiv
 
[5]
2021 | Conference Paper | IST-REx-ID: 10435 | OA
G. Nadiradze, A. Sabour, P. Davies, S. Li, and D.-A. Alistarh, “Asynchronous decentralized SGD with quantized and local updates,” in 35th Conference on Neural Information Processing Systems, Sydney, Australia, 2021.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[4]
2021 | Journal Article | IST-REx-ID: 9541 | OA
A. Czumaj, P. Davies, and M. Parter, “Graph sparsification for derandomizing massively parallel computation with low space,” ACM Transactions on Algorithms, vol. 17, no. 2. Association for Computing Machinery, 2021.
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.) | WoS | arXiv
 
[3]
2021 | Journal Article | IST-REx-ID: 15271
A. Czumaj, P. Davies, and M. Parter, “Simple, deterministic, constant-round coloring in congested clique and MPC,” SIAM Journal on Computing, vol. 50, no. 5. Society for Industrial & Applied Mathematics, pp. 1603–1626, 2021.
View | DOI
 
[2]
2020 | Conference Paper | IST-REx-ID: 7803 | OA
A. Czumaj, P. Davies, and M. Parter, “Simple, deterministic, constant-round coloring in the congested clique,” in Proceedings of the 2020 ACM Symposium on Principles of Distributed Computing, Salerno, Italy, 2020, pp. 309–318.
[Submitted Version] View | Files available | DOI | arXiv
 
[1]
2020 | Conference Paper | IST-REx-ID: 7802 | OA
A. Czumaj, P. Davies, and M. Parter, “Graph sparsification for derandomizing massively parallel computation with low space,” in Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2020), Virtual Event, United States, 2020, no. 7, pp. 175–185.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
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    Citation Style: IEEE

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