Mahdi Beitollahi

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 10

Top Topics

Prior Knowledge

Diffusion Model

Wireless Networks

Top Venues

IEEE Internet Things J.

Publications

Mahdi Beitollahi, Alex Bie, Sobhan Hemati, Leo Maxime Brunswic, Xu Li, Xi Chen, Guojun Zhang
Parametric Feature Transfer: One-shot Federated Learning with Foundation Models. CoRR (2024)
Guojun Zhang, Mahdi Beitollahi, Alex Bie, Xi Chen
Understanding the Role of Layer Normalization in Label-Skewed Federated Learning. Trans. Mach. Learn. Res. 2024 (2024)
Nader Asadi, Mahdi Beitollahi, Yasser H. Khalil, Yinchuan Li, Guojun Zhang, Xi Chen
Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy? CoRR (2024)
Yasser H. Khalil, Amir Hossein Estiri, Mahdi Beitollahi, Nader Asadi, Sobhan Hemati, Xu Li, Guojun Zhang, Xi Chen
DFML: Decentralized Federated Mutual Learning. CoRR (2024)
Guojun Zhang, Mahdi Beitollahi, Alex Bie, Xi Chen
Normalization Is All You Need: Understanding Layer-Normalized Federated Learning under Extreme Label Shift. CoRR (2023)
Mahdi Beitollahi, Ning Lu
Federated Learning Over Wireless Networks: Challenges and Solutions. IEEE Internet Things J. 10 (16) (2023)
Sobhan Hemati, Mahdi Beitollahi, Amir Hossein Estiri, Bassel Al Omari, Xi Chen, Guojun Zhang
Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models. CoRR (2023)
Mahdi Beitollahi, Ning Lu
Multi-frame Scheduling for Federated Learning over Energy-Efficient 6G Wireless Networks. INFOCOM Workshops (2022)
Mahdi Beitollahi, Ning Lu
FLAC: Federated Learning with Autoencoder Compression and Convergence Guarantee. GLOBECOM (2022)
Mahdi Beitollahi, Mingrui Liu, Ning Lu
DSFL: Dynamic Sparsification for Federated Learning. ICCSPA (2022)