1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025★ 1 cited
SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning
Dung T. Tran, Nguyen B. Ha, Van-Dinh Nguyen +1
Federated learning (FL) is a promising approach for addressing scalability and latency issues in large-scale networks by enabling collaborative model training without requiring the…
cs.CV2024
A region-wide, multi-year set of crop field boundary labels for Africa
L. D. Estes, A. Wussah, M. Asipunu +27
African agriculture is undergoing rapid transformation. Annual maps of crop fields are key to understanding the nature of this transformation, but such maps are currently lacking a…
cs.CV2024
Generalization Enhancement Strategies to Enable Cross-year Cropland Mapping with Convolutional Neural Networks Trained Using Historical Samples
Sam Khallaghi, Rahebe Abedi, Hanan Abou Ali +12
The accuracy of mapping agricultural fields across large areas is steadily improving with high-resolution satellite imagery and deep learning (DL) models, even in regions where fie…