Giorgi Nadiradze
Graduate School
Alistarh Group
13 Publications
2024 | Published | Conference Paper | IST-REx-ID: 17093 |

Zakerinia, Hossein, et al. “Communication-Efficient Federated Learning with Data and Client Heterogeneity.” Proceedings of the 27th International Conference on Artificial Intelligence and Statistics, vol. 238, ML Research Press, 2024, pp. 3448–56.
[Preprint]
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2023 | Published | Conference Paper | IST-REx-ID: 13262 |

Fedorov, Alexander, et al. “Provably-Efficient and Internally-Deterministic Parallel Union-Find.” Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures, Association for Computing Machinery, 2023, pp. 261–71, doi:10.1145/3558481.3591082.
[Published Version]
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 11180 |

Postnikova, Anastasiia, et al. “Multi-Queues Can Be State-of-the-Art Priority Schedulers.” Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Association for Computing Machinery, 2022, pp. 353–67, doi:10.1145/3503221.3508432.
[Preprint]
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| arXiv
2022 | Research Data Reference | IST-REx-ID: 13076 |

Postnikova, Anastasiia, et al. Multi-Queues Can Be State-of-the-Art Priority Schedulers. Zenodo, 2022, doi:10.5281/ZENODO.5733408.
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2022 | Published | Journal Article | IST-REx-ID: 8286 |

Alistarh, Dan-Adrian, Dynamic averaging load balancing on cycles. Algorithmica 84 (4). 2022
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| arXiv
2021 | Published | Journal Article | IST-REx-ID: 8723 |

Li, Shigang, Breaking (global) barriers in parallel stochastic optimization with wait-avoiding group averaging. IEEE Transactions on Parallel and Distributed Systems 32 (7). 2021
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 10435 |

Nadiradze, Giorgi, et al. “Asynchronous Decentralized SGD with Quantized and Local Updates.” 35th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2021.
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2021 | Published | Conference Paper | IST-REx-ID: 10432 |

Nadiradze, Giorgi, et al. “Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent.” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 10, 2021, pp. 9037–45.
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2021 | Published | Thesis | IST-REx-ID: 10429 |

Nadiradze, Giorgi. On Achieving Scalability through Relaxation. Institute of Science and Technology Austria, 2021, doi:10.15479/at:ista:10429.
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2021 | Published | Conference Paper | IST-REx-ID: 10217 |

Alistarh, Dan-Adrian, et al. “Lower Bounds for Shared-Memory Leader Election under Bounded Write Contention.” 35th International Symposium on Distributed Computing, vol. 209, 4, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021, doi:10.4230/LIPIcs.DISC.2021.4.
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2020 | Published | Conference Paper | IST-REx-ID: 15077 |

Alistarh, Dan-Adrian, Dynamic averaging load balancing on cycles. 47th International Colloquium on Automata, Languages, and Programming 168. 2020
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| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 6673 |

Alistarh, Dan-Adrian, et al. “Efficiency Guarantees for Parallel Incremental Algorithms under Relaxed Schedulers.” 31st ACM Symposium on Parallelism in Algorithms and Architectures, ACM, 2019, pp. 145–54, doi:10.1145/3323165.3323201.
[Preprint]
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| arXiv
2017 | Published | Conference Paper | IST-REx-ID: 791 |

Alistarh, Dan-Adrian, et al. “The Power of Choice in Priority Scheduling.” Proceedings of the ACM Symposium on Principles of Distributed Computing, vol. Part F129314, ACM, 2017, pp. 283–92, doi:10.1145/3087801.3087810.
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Grants
13 Publications
2024 | Published | Conference Paper | IST-REx-ID: 17093 |

Zakerinia, Hossein, et al. “Communication-Efficient Federated Learning with Data and Client Heterogeneity.” Proceedings of the 27th International Conference on Artificial Intelligence and Statistics, vol. 238, ML Research Press, 2024, pp. 3448–56.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 13262 |

Fedorov, Alexander, et al. “Provably-Efficient and Internally-Deterministic Parallel Union-Find.” Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures, Association for Computing Machinery, 2023, pp. 261–71, doi:10.1145/3558481.3591082.
[Published Version]
View
| Files available
| DOI
| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 11180 |

Postnikova, Anastasiia, et al. “Multi-Queues Can Be State-of-the-Art Priority Schedulers.” Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Association for Computing Machinery, 2022, pp. 353–67, doi:10.1145/3503221.3508432.
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2022 | Research Data Reference | IST-REx-ID: 13076 |

Postnikova, Anastasiia, et al. Multi-Queues Can Be State-of-the-Art Priority Schedulers. Zenodo, 2022, doi:10.5281/ZENODO.5733408.
[Published Version]
View
| Files available
| DOI
| Download Published Version (ext.)
2022 | Published | Journal Article | IST-REx-ID: 8286 |

Alistarh, Dan-Adrian, Dynamic averaging load balancing on cycles. Algorithmica 84 (4). 2022
[Published Version]
View
| Files available
| DOI
| WoS
| arXiv
2021 | Published | Journal Article | IST-REx-ID: 8723 |

Li, Shigang, Breaking (global) barriers in parallel stochastic optimization with wait-avoiding group averaging. IEEE Transactions on Parallel and Distributed Systems 32 (7). 2021
[Preprint]
View
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 10435 |

Nadiradze, Giorgi, et al. “Asynchronous Decentralized SGD with Quantized and Local Updates.” 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: 10432 |

Nadiradze, Giorgi, et al. “Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent.” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 10, 2021, pp. 9037–45.
[Published Version]
View
| Files available
| Download Published Version (ext.)
| arXiv
2021 | Published | Thesis | IST-REx-ID: 10429 |

Nadiradze, Giorgi. On Achieving Scalability through Relaxation. Institute of Science and Technology Austria, 2021, doi:10.15479/at:ista:10429.
[Published Version]
View
| Files available
| DOI
2021 | Published | Conference Paper | IST-REx-ID: 10217 |

Alistarh, Dan-Adrian, et al. “Lower Bounds for Shared-Memory Leader Election under Bounded Write Contention.” 35th International Symposium on Distributed Computing, vol. 209, 4, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021, doi:10.4230/LIPIcs.DISC.2021.4.
[Published Version]
View
| Files available
| DOI
2020 | Published | Conference Paper | IST-REx-ID: 15077 |

Alistarh, Dan-Adrian, Dynamic averaging load balancing on cycles. 47th International Colloquium on Automata, Languages, and Programming 168. 2020
[Published Version]
View
| Files available
| DOI
| arXiv
2019 | Published | Conference Paper | IST-REx-ID: 6673 |

Alistarh, Dan-Adrian, et al. “Efficiency Guarantees for Parallel Incremental Algorithms under Relaxed Schedulers.” 31st ACM Symposium on Parallelism in Algorithms and Architectures, ACM, 2019, pp. 145–54, doi:10.1145/3323165.3323201.
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
| WoS
| arXiv
2017 | Published | Conference Paper | IST-REx-ID: 791 |

Alistarh, Dan-Adrian, et al. “The Power of Choice in Priority Scheduling.” Proceedings of the ACM Symposium on Principles of Distributed Computing, vol. Part F129314, ACM, 2017, pp. 283–92, doi:10.1145/3087801.3087810.
[Submitted Version]
View
| DOI
| Download Submitted Version (ext.)
| WoS