2 citations · 5 across the 5 of their papers we have counts for
4 papers · 1 filter
DFML: Decentralized Federated Mutual Learning
Yasser H. Khalil, Amir H. Estiri, Mahdi Beitollahi +5
In the realm of real-world devices, centralized servers in Federated Learning (FL) present challenges including communication bottlenecks and susceptibility to a single point of fa…
Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models
Sobhan Hemati, Mahdi Beitollahi, Amir Hossein Estiri +3
Despite the huge effort in developing novel regularizers for Domain Generalization (DG), adding simple data augmentation to the vanilla ERM which is a practical implementation of t…
Understanding Hessian Alignment for Domain Generalization
Sobhan Hemati, Guojun Zhang, Amir Estiri +1
Out-of-distribution (OOD) generalization is a critical ability for deep learning models in many real-world scenarios including healthcare and autonomous vehicles. Recently, differe…
Attentive Federated Learning for Concept Drift in Distributed 5G Edge Networks
Amir Hossein Estiri, Muthucumaru Maheswaran
Machine learning (ML) is expected to play a major role in 5G edge computing. Various studies have demonstrated that ML is highly suitable for optimizing edge computing systems as r…