4 Publications

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[4]
2025 | Draft | Preprint | IST-REx-ID: 21207 | OA
Zakerinia, Hossein, Jonathan A Scott, and Christoph Lampert. “Federated Learning with Unlabeled Clients: Personalization Can Happen in Low Dimensions.” ArXiv, n.d. https://doi.org/10.48550/ARXIV.2505.15579.
[Preprint] View | Files available | DOI | Download Preprint (ext.)
 
[3]
2024 | Published | Conference Paper | IST-REx-ID: 18118 | OA
Zakerinia, Hossein, Amin Behjati, and Christoph Lampert. “More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms.” In Proceedings of the 41st International Conference on Machine Learning, 235:58122–39. ML Research Press, 2024.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[2]
2024 | Published | Conference Paper | IST-REx-ID: 17093 | OA
Zakerinia, Hossein, Shayan Talaei, Giorgi Nadiradze, and Dan-Adrian Alistarh. “Communication-Efficient Federated Learning with Data and Client Heterogeneity.” In Proceedings of the 27th International Conference on Artificial Intelligence and Statistics, 238:3448–56. ML Research Press, 2024.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[1]
2024 | Published | Conference Paper | IST-REx-ID: 17411 | OA
Scott, Jonathan A, Hossein Zakerinia, and Christoph Lampert. “PEFLL: Personalized Federated Learning by Learning to Learn.” In 12th International Conference on Learning Representations. OpenReview, 2024.
[Published Version] View | Files available | arXiv
 

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4 Publications

Mark all

[4]
2025 | Draft | Preprint | IST-REx-ID: 21207 | OA
Zakerinia, Hossein, Jonathan A Scott, and Christoph Lampert. “Federated Learning with Unlabeled Clients: Personalization Can Happen in Low Dimensions.” ArXiv, n.d. https://doi.org/10.48550/ARXIV.2505.15579.
[Preprint] View | Files available | DOI | Download Preprint (ext.)
 
[3]
2024 | Published | Conference Paper | IST-REx-ID: 18118 | OA
Zakerinia, Hossein, Amin Behjati, and Christoph Lampert. “More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms.” In Proceedings of the 41st International Conference on Machine Learning, 235:58122–39. ML Research Press, 2024.
[Published Version] View | Download Published Version (ext.) | arXiv
 
[2]
2024 | Published | Conference Paper | IST-REx-ID: 17093 | OA
Zakerinia, Hossein, Shayan Talaei, Giorgi Nadiradze, and Dan-Adrian Alistarh. “Communication-Efficient Federated Learning with Data and Client Heterogeneity.” In Proceedings of the 27th International Conference on Artificial Intelligence and Statistics, 238:3448–56. ML Research Press, 2024.
[Preprint] View | Download Preprint (ext.) | arXiv
 
[1]
2024 | Published | Conference Paper | IST-REx-ID: 17411 | OA
Scott, Jonathan A, Hossein Zakerinia, and Christoph Lampert. “PEFLL: Personalized Federated Learning by Learning to Learn.” In 12th International Conference on Learning Representations. OpenReview, 2024.
[Published Version] View | Files available | arXiv
 

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