4 papers
Efficient Adversarial Attacks on High-dimensional Offline Bandits
Seyed Mohammad Hadi Hosseini, Amir Najafi, Mahdieh Soleymani Baghshah
Bandit algorithms have recently emerged as a powerful tool for evaluating machine learning models, including generative image models and large language models, by efficiently ident…
Federated Ensemble Learning with Progressive Model Personalization
Ala Emrani, Amir Najafi, Abolfazl Motahari
Federated Learning provides a privacy-preserving paradigm for distributed learning, but suffers from statistical heterogeneity across clients. Personalized Federated Learning (PFL)…
New Algorithmic Directions in Optimal Transport and Applications for Product Spaces
Salman Beigi, Omid Etesami, Mohammad Mahmoody +1
We study optimal transport between two high-dimensional distributions in from an algorithmic perspective: given , find a close in tim…
Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts
Amir Najafi, Samin Mahdizadeh Sani, Farzan Farnia
We address the challenge of certifying the performance of a federated learning model on an unseen target network using only measurements from the source network that trained the mo…