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Ahmed Frikha

2 accepted papers

2023

FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation

ICCV 2023poster

Federated Learning (FL) is a decentralized machine learning paradigm, in which multiple clients collaboratively train neural networks without centralizing their local data, and hence preserve data privacy. However, real-world FL applications usually encounter challenges arising from distribution shi…

Cited by 39PDFcodeScholar
2021

Few-Shot One-Class Classification via Meta-Learning

AAAI 2021technical

Although few-shot learning and one-class classification (OCC), i.e., learning a binary classifier with data from only one class, have been separately well studied, their intersection remains rather unexplored. Our work addresses the few-shot OCC problem and presents a method to modify the episodic d…