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cs.LG2025
SoilX: Calibration-Free Comprehensive Soil Sensing through Contrastive Cross-Component Learning
Kang Yang, Yuanlin Yang, Yuning Chen +3
Precision agriculture demands continuous and accurate monitoring of soil moisture (M) and key macronutrients, including nitrogen (N), phosphorus (P), and potassium (K), to optimize…
cs.LG2023★ 1 cited
Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization
Xinyu Zhang, Weiyu Sun, Ying Chen
Federated learning (FL) is a privacy-preserving paradigm for collaboratively training a global model from decentralized clients. However, the performance of FL is hindered by non-i…