Hossein Zakerinia

According to our database, Hossein Zakerinia authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Deep Multi-Task Learning Has Low Amortized Intrinsic Dimensionality.

Hossein Zakerinia, Dorsa Ghobadi, Christoph H. Lampert

CoRR, January, 2025

2024

DP-KAN: Differentially Private Kolmogorov-Arnold Networks.

Nikita P. Kalinin, Simone Bombari, Hossein Zakerinia, Christoph H. Lampert

CoRR, 2024

More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms.

Hossein Zakerinia, Amin Behjati, Christoph H. Lampert

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PeFLL: Personalized Federated Learning by Learning to Learn.

Jonathan Scott, Hossein Zakerinia, Christoph H. Lampert

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Communication-Efficient Federated Learning With Data and Client Heterogeneity.

Hossein Zakerinia, Shayan Talaei, Giorgi Nadiradze, Dan Alistarh

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

PeFLL: A Lifelong Learning Approach to Personalized Federated Learning.

Jonathan Scott, Hossein Zakerinia, Christoph H. Lampert

CoRR, 2023

2022

QuAFL: Federated Averaging Can Be Both Asynchronous and Communication-Efficient.

Hossein Zakerinia, Shayan Talaei, Giorgi Nadiradze, Dan Alistarh

CoRR, 2022