9 citations · 27 across the 13 of their papers we have counts for
3 papers · 1 filter
Fairness and Privacy-Preserving in Federated Learning: A Survey
Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain +1
Federated learning (FL) as distributed machine learning has gained popularity as privacy-aware Machine Learning (ML) systems have emerged as a technique that prevents privacy leaka…
ARBEx: Attentive Feature Extraction with Reliability Balancing for Robust Facial Expression Learning
Azmine Toushik Wasi, Karlo Šerbetar, Raima Islam +2
In this paper, we introduce a framework ARBEx, a novel attentive feature extraction framework driven by Vision Transformer with reliability balancing to cope against poor class dis…
A Generalized Look at Federated Learning: Survey and Perspectives
Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain +2
Federated learning (FL) refers to a distributed machine learning framework involving learning from several decentralized edge clients without sharing local dataset. This distribute…