Azadeh Motamedi

PhD student, Queen's University

1 paper at NeurIPS 2025

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Poster Session 6

1 paper

Friday, December 5, 2025 · 4:30 PM → 7:30 PM

Exhibit Hall C,D,E

NormFit: A Lightweight Solution for Few-Shot Federated Learning with Non-IID Data

#4500 Spotlight · Azadeh Motamedi, Jae-Mo Kang, Il-Min Kim

NormFit is a novel fine-tuning framework designed specifically for few-shot federated learning scenarios characterized by heterogeneous and imbalanced data distributions