Mahdi Beitollahi

16 papers A* 1B 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Toward Enhancing Representation Learning in Federated Multi-Task Settings.
CoRR
Mehdi Setayesh, Mahdi Beitollahi, Yasser H. Khalil, Hongliang Li
2025 J jnl
Foundation Models Meet Federated Learning: A One-shot Feature-sharing Method with Privacy and Performance Guarantees.
Trans. Mach. Learn. Res.
Mahdi Beitollahi, Alex Bie, Sobhan Hemati, Leo Maxime Brunswic, Xu Li, Xi Chen, Guojun Zhang
2025 A* conf
NoT: Federated Unlearning via Weight Negation.
CVPR
Yasser H. Khalil, Leo Maxime Brunswic, Soufiane Lamghari, Xu Li, Mahdi Beitollahi, Xi Chen
2025 J jnl
NoT: Federated Unlearning via Weight Negation.
CoRR
Yasser H. Khalil, Leo Maxime Brunswic, Soufiane Lamghari, Xu Li, Mahdi Beitollahi, Xi Chen
2024 J jnl
Beyond Loss Functions: Exploring Data-Centric Approaches with Diffusion Model for Domain Generalization.
Trans. Mach. Learn. Res.
Sobhan Hemati, Mahdi Beitollahi, Amir Hossein Estiri, Bassel Al Omari, Soufiane Lamghari, Yasser H. Khalil, Xi Chen, Guojun Zhang
2024 J jnl
DFML: Decentralized Federated Mutual Learning.
CoRR
Yasser H. Khalil, Amir Hossein Estiri, Mahdi Beitollahi, Nader Asadi, Sobhan Hemati, Xu Li, Guojun Zhang, Xi Chen
2024 J jnl
DFML: Decentralized Federated Mutual Learning.
Trans. Mach. Learn. Res.
Yasser H. Khalil, Amir Hossein Estiri, Mahdi Beitollahi, Nader Asadi, Sobhan Hemati, Xu Li, Guojun Zhang, Xi Chen
2024 J jnl
Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy?
CoRR
Nader Asadi, Mahdi Beitollahi, Yasser H. Khalil, Yinchuan Li, Guojun Zhang, Xi Chen
2024 J jnl
Parametric Feature Transfer: One-shot Federated Learning with Foundation Models.
CoRR
Mahdi Beitollahi, Alex Bie, Sobhan Hemati, Leo Maxime Brunswic, Xu Li, Xi Chen, Guojun Zhang
2024 J jnl
Understanding the Role of Layer Normalization in Label-Skewed Federated Learning.
Trans. Mach. Learn. Res.
Guojun Zhang, Mahdi Beitollahi, Alex Bie, Xi Chen
2023 J jnl
Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models.
CoRR
Sobhan Hemati, Mahdi Beitollahi, Amir Hossein Estiri, Bassel Al Omari, Xi Chen, Guojun Zhang
2023 J jnl
Federated Learning Over Wireless Networks: Challenges and Solutions.
IEEE Internet Things J.
Mahdi Beitollahi, Ning Lu
2023 J jnl
Normalization Is All You Need: Understanding Layer-Normalized Federated Learning under Extreme Label Shift.
CoRR
Guojun Zhang, Mahdi Beitollahi, Alex Bie, Xi Chen
2022 — conf
DSFL: Dynamic Sparsification for Federated Learning.
ICCSPA
Mahdi Beitollahi, Mingrui Liu, Ning Lu
2022 B conf
FLAC: Federated Learning with Autoencoder Compression and Convergence Guarantee.
GLOBECOM
Mahdi Beitollahi, Ning Lu
2022 — conf
Multi-frame Scheduling for Federated Learning over Energy-Efficient 6G Wireless Networks.
INFOCOM Workshops
Mahdi Beitollahi, Ning Lu