Hossein Zakerinia
4 Publications
2025 |
Draft |
Preprint |
IST-REx-ID: 21207 |
Zakerinia, H., Scott, J. A., & Lampert, C. (n.d.). Federated learning with unlabeled clients: Personalization can happen in low dimensions. arXiv. https://doi.org/10.48550/ARXIV.2505.15579
[Preprint]
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2024 |
Published |
Conference Paper |
IST-REx-ID: 18118 |
Zakerinia, H., Behjati, A., & Lampert, C. (2024). More flexible PAC-Bayesian meta-learning by learning learning algorithms. In Proceedings of the 41st International Conference on Machine Learning (Vol. 235, pp. 58122–58139). Vienna, Austria: ML Research Press.
[Published Version]
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 17093 |
Zakerinia, H., Talaei, S., Nadiradze, G., & Alistarh, D.-A. (2024). Communication-efficient federated learning with data and client heterogeneity. In Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (Vol. 238, pp. 3448–3456). Valencia, Spain: ML Research Press.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 17411 |
Scott, J. A., Zakerinia, H., & Lampert, C. (2024). PEFLL: Personalized federated learning by learning to learn. In 12th International Conference on Learning Representations. Vienna, Austria: OpenReview.
[Published Version]
View
| Files available
| arXiv
Grants
4 Publications
2025 |
Draft |
Preprint |
IST-REx-ID: 21207 |
Zakerinia, H., Scott, J. A., & Lampert, C. (n.d.). Federated learning with unlabeled clients: Personalization can happen in low dimensions. arXiv. https://doi.org/10.48550/ARXIV.2505.15579
[Preprint]
View
| Files available
| DOI
| Download Preprint (ext.)
2024 |
Published |
Conference Paper |
IST-REx-ID: 18118 |
Zakerinia, H., Behjati, A., & Lampert, C. (2024). More flexible PAC-Bayesian meta-learning by learning learning algorithms. In Proceedings of the 41st International Conference on Machine Learning (Vol. 235, pp. 58122–58139). Vienna, Austria: ML Research Press.
[Published Version]
View
| Download Published Version (ext.)
| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 17093 |
Zakerinia, H., Talaei, S., Nadiradze, G., & Alistarh, D.-A. (2024). Communication-efficient federated learning with data and client heterogeneity. In Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (Vol. 238, pp. 3448–3456). Valencia, Spain: ML Research Press.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 17411 |
Scott, J. A., Zakerinia, H., & Lampert, C. (2024). PEFLL: Personalized federated learning by learning to learn. In 12th International Conference on Learning Representations. Vienna, Austria: OpenReview.
[Published Version]
View
| Files available
| arXiv