9 citations · 11 across the 6 of their papers we have counts for
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cs.LG2024★ 1 cited
On the Volatility of Shapley-Based Contribution Metrics in Federated Learning
Arno Geimer, Beltran Fiz, Radu State
Federated learning (FL) is a collaborative and privacy-preserving Machine Learning paradigm, allowing the development of robust models without the need to centralize sensitive data…
cs.CV2024★ 9 cited
Cross Domain Early Crop Mapping using CropSTGAN
Yiqun Wang, Hui Huang, Radu State
Driven by abundant satellite imagery, machine learning-based approaches have recently been promoted to generate high-resolution crop cultivation maps to support many agricultural a…