Beitollahi, Mahdi

7 publications

TMLR 2025 Foundation Models Meet Federated Learning: A One-Shot Feature-Sharing Method with Privacy and Performance Guarantees Mahdi Beitollahi, Alex Bie, Sobhan Hemati, Leo Maxime Brunswic, Xu Li, Xi Chen, Guojun Zhang

CVPR 2025 NoT: Federated Unlearning via Weight Negation Yasser H. Khalil, Leo Brunswic, Soufiane Lamghari, Xu Li, Mahdi Beitollahi, Xi Chen

TMLR 2024 Beyond Loss Functions: Exploring Data-Centric Approaches with Diffusion Model for Domain Generalization Sobhan Hemati, Mahdi Beitollahi, Amir Hossein Estiri, Bassel Al Omari, Soufiane Lamghari, Yasser H. Khalil, Xi Chen, Guojun Zhang

ICMLW 2024 Combining Pre-Trained LoRA Modules Improves Few-Shot Adaptation of Foundation Models to New Tasks Nader Asadi, Mahdi Beitollahi, Yasser H. Khalil, Yinchuan Li, Guojun Zhang, Xi Chen

TMLR 2024 DFML: Decentralized Federated Mutual Learning Yasser H. Khalil, Amir Hossein Estiri, Mahdi Beitollahi, Nader Asadi, Sobhan Hemati, Xu Li, Guojun Zhang, Xi Chen

ICMLW 2024 Leveraging Generative Foundation Models for Domain Generalization Sobhan Hemati, Mahdi Beitollahi, Amir Hossein Estiri, Bassel Al Omari, Xi Chen, Guojun Zhang

TMLR 2024 Understanding the Role of Layer Normalization in Label-Skewed Federated Learning Guojun Zhang, Mahdi Beitollahi, Alex Bie, Xi Chen