Mahdi Beitollahi

According to our database, Mahdi Beitollahi authored at least 10 papers between 2022 and 2024.

Collaborative distances:

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

2024

Understanding the Role of Layer Normalization in Label-Skewed Federated Learning.

Guojun Zhang, Mahdi Beitollahi, Alex Bie, Xi Chen

Trans. Mach. Learn. Res., 2024

Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy?

Nader Asadi, Mahdi Beitollahi, Yasser H. Khalil, Yinchuan Li, Guojun Zhang, Xi Chen

CoRR, 2024

DFML: Decentralized Federated Mutual Learning.

Yasser H. Khalil, Amir Hossein Estiri, Mahdi Beitollahi, Nader Asadi, Sobhan Hemati, Xu Li, Guojun Zhang, Xi Chen

CoRR, 2024

Parametric Feature Transfer: One-shot Federated Learning with Foundation Models.

Mahdi Beitollahi, Alex Bie, Sobhan Hemati, Leo Maxime Brunswic, Xu Li, Xi Chen, Guojun Zhang

CoRR, 2024

2023

Federated Learning Over Wireless Networks: Challenges and Solutions.

Mahdi Beitollahi, Ning Lu

IEEE Internet Things J., August, 2023

Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models.

Sobhan Hemati, Mahdi Beitollahi, Amir Hossein Estiri, Bassel Al Omari, Xi Chen, Guojun Zhang

CoRR, 2023

Normalization Is All You Need: Understanding Layer-Normalized Federated Learning under Extreme Label Shift.

Guojun Zhang, Mahdi Beitollahi, Alex Bie, Xi Chen

CoRR, 2023

2022

Multi-frame Scheduling for Federated Learning over Energy-Efficient 6G Wireless Networks.

Mahdi Beitollahi, Ning Lu

Proceedings of the IEEE INFOCOM 2022, 2022

DSFL: Dynamic Sparsification for Federated Learning.

Mahdi Beitollahi, Mingrui Liu, Ning Lu

Proceedings of the 5th International Conference on Communications, 2022

FLAC: Federated Learning with Autoencoder Compression and Convergence Guarantee.

Mahdi Beitollahi, Ning Lu

Proceedings of the IEEE Global Communications Conference, 2022