Hossein Zakerinia

5 Publications

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[5]
2025 | Draft | Preprint | IST-REx-ID: 21207 | OA
Zakerinia, Hossein, et al. “Federated Learning with Unlabeled Clients: Personalization Can Happen in Low Dimensions.” ArXiv, 2505.15579, doi:10.48550/ARXIV.2505.15579.
[Preprint] View | Files available | DOI | Download Preprint (ext.)
 
[4]
2025 | Published | Conference Paper | IST-REx-ID: 22824 | OA
Zakerinia, Hossein, and Christoph Lampert. “Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes.” 39th Conference on Neural Information Processing Systems, vol. 38, Neural Information Processing Systems Foundation, 2025, pp. 9062–93, doi:10.52202/085713-0278.
[Published Version] View | DOI | Download Published Version (ext.)
 
[3]
2024 | Published | Conference Paper | IST-REx-ID: 17093 | OA
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
 
[2]
2024 | Published | Conference Paper | IST-REx-ID: 17411 | OA
Scott, Jonathan A., et al. “PEFLL: Personalized Federated Learning by Learning to Learn.” 12th International Conference on Learning Representations, OpenReview, 2024.
[Published Version] View | Files available | arXiv
 
[1]
2024 | Published | Conference Paper | IST-REx-ID: 18118 | OA
Zakerinia, Hossein, et al. “More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms.” Proceedings of the 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 58122–39.
[Published Version] View | Download Published Version (ext.) | arXiv
 
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5 Publications

Mark all

[5]
2025 | Draft | Preprint | IST-REx-ID: 21207 | OA
Zakerinia, Hossein, et al. “Federated Learning with Unlabeled Clients: Personalization Can Happen in Low Dimensions.” ArXiv, 2505.15579, doi:10.48550/ARXIV.2505.15579.
[Preprint] View | Files available | DOI | Download Preprint (ext.)
 
[4]
2025 | Published | Conference Paper | IST-REx-ID: 22824 | OA
Zakerinia, Hossein, and Christoph Lampert. “Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes.” 39th Conference on Neural Information Processing Systems, vol. 38, Neural Information Processing Systems Foundation, 2025, pp. 9062–93, doi:10.52202/085713-0278.
[Published Version] View | DOI | Download Published Version (ext.)
 
[3]
2024 | Published | Conference Paper | IST-REx-ID: 17093 | OA
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
 
[2]
2024 | Published | Conference Paper | IST-REx-ID: 17411 | OA
Scott, Jonathan A., et al. “PEFLL: Personalized Federated Learning by Learning to Learn.” 12th International Conference on Learning Representations, OpenReview, 2024.
[Published Version] View | Files available | arXiv
 
[1]
2024 | Published | Conference Paper | IST-REx-ID: 18118 | OA
Zakerinia, Hossein, et al. “More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms.” Proceedings of the 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 58122–39.
[Published Version] View | Download Published Version (ext.) | arXiv
 
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Citation Style: MLA

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