Peter Davies

Alistarh Group

12 Publications

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[12]
2021 | Conference Paper | IST-REx-ID: 11452 | OA
Alimisis F, Davies P, Vandereycken B, Alistarh D-A. Distributed principal component analysis with limited communication. In: Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems. Vol 4. Neural Information Processing Systems Foundation; 2021:2823-2834.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[11]
2021 | Conference Paper | IST-REx-ID: 9543 | OA
Davies P, Gurunanthan V, Moshrefi N, Ashkboos S, Alistarh D-A. New bounds for distributed mean estimation and variance reduction. In: 9th International Conference on Learning Representations. ; 2021.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[10]
2021 | Conference Paper | IST-REx-ID: 9620 | OA
Alistarh D-A, Davies P. Collecting coupons is faster with friends. In: Structural Information and Communication Complexity. Vol 12810. Springer Nature; 2021:3-12. doi:10.1007/978-3-030-79527-6_1
[Preprint] View | Files available | DOI
 
[9]
2021 | Conference Paper | IST-REx-ID: 13147 | OA
Alimisis F, Davies P, Alistarh D-A. Communication-efficient distributed optimization with quantized preconditioners. In: Proceedings of the 38th International Conference on Machine Learning. Vol 139. ML Research Press; 2021:196-206.
[Published Version] View | Files available | arXiv
 
[8]
2021 | Conference Paper | IST-REx-ID: 9935 | OA
Czumaj A, Davies P, Parter M. Improved deterministic (Δ+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
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[7]
2021 | Conference Paper | IST-REx-ID: 9933 | OA
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
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS | arXiv
 
[6]
2021 | Conference Paper | IST-REx-ID: 10435 | OA
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.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[5]
2021 | Journal Article | IST-REx-ID: 9541 | OA
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
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.) | WoS | arXiv
 
[4]
2021 | Journal Article | IST-REx-ID: 15271
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
View | DOI
 
[3]
2021 | Journal Article | IST-REx-ID: 15267 | OA
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
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[2]
2020 | Conference Paper | IST-REx-ID: 7803 | OA
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
[Submitted Version] View | Files available | DOI | arXiv
 
[1]
2020 | Conference Paper | IST-REx-ID: 7802 | OA
Czumaj A, Davies P, Parter M. 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). Association for Computing Machinery; 2020:175-185. doi:10.1145/3350755.3400282
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
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12 Publications

Mark all

[12]
2021 | Conference Paper | IST-REx-ID: 11452 | OA
Alimisis F, Davies P, Vandereycken B, Alistarh D-A. Distributed principal component analysis with limited communication. In: Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems. Vol 4. Neural Information Processing Systems Foundation; 2021:2823-2834.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[11]
2021 | Conference Paper | IST-REx-ID: 9543 | OA
Davies P, Gurunanthan V, Moshrefi N, Ashkboos S, Alistarh D-A. New bounds for distributed mean estimation and variance reduction. In: 9th International Conference on Learning Representations. ; 2021.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[10]
2021 | Conference Paper | IST-REx-ID: 9620 | OA
Alistarh D-A, Davies P. Collecting coupons is faster with friends. In: Structural Information and Communication Complexity. Vol 12810. Springer Nature; 2021:3-12. doi:10.1007/978-3-030-79527-6_1
[Preprint] View | Files available | DOI
 
[9]
2021 | Conference Paper | IST-REx-ID: 13147 | OA
Alimisis F, Davies P, Alistarh D-A. Communication-efficient distributed optimization with quantized preconditioners. In: Proceedings of the 38th International Conference on Machine Learning. Vol 139. ML Research Press; 2021:196-206.
[Published Version] View | Files available | arXiv
 
[8]
2021 | Conference Paper | IST-REx-ID: 9935 | OA
Czumaj A, Davies P, Parter M. Improved deterministic (Δ+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
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS
 
[7]
2021 | Conference Paper | IST-REx-ID: 9933 | OA
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
[Submitted Version] View | DOI | Download Submitted Version (ext.) | WoS | arXiv
 
[6]
2021 | Conference Paper | IST-REx-ID: 10435 | OA
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.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 
[5]
2021 | Journal Article | IST-REx-ID: 9541 | OA
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
[Submitted Version] View | Files available | DOI | Download Submitted Version (ext.) | WoS | arXiv
 
[4]
2021 | Journal Article | IST-REx-ID: 15271
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
View | DOI
 
[3]
2021 | Journal Article | IST-REx-ID: 15267 | OA
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
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
[2]
2020 | Conference Paper | IST-REx-ID: 7803 | OA
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
[Submitted Version] View | Files available | DOI | arXiv
 
[1]
2020 | Conference Paper | IST-REx-ID: 7802 | OA
Czumaj A, Davies P, Parter M. 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). Association for Computing Machinery; 2020:175-185. doi:10.1145/3350755.3400282
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 
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    Citation Style: AMA

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