Search Results for author: Nian-Feng Tzeng

Found 2 papers, 1 papers with code

FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering

no code implementations • 7 Mar 2024 • Md Sirajul Islam, Simin Javaherian, Fei Xu, Xu Yuan, Li Chen, Nian-Feng Tzeng

Clustered federated learning (CFL) addresses this challenge by grouping clients based on the similarity of their data distributions.

Federated Learning

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MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer

1 code implementation • ICCV 2023 • Fudong Lin, Summer Crawford, Kaleb Guillot, Yihe Zhang, Yan Chen, Xu Yuan, Li Chen, Shelby Williams, Robert Minvielle, Xiangming Xiao, Drew Gholson, Nicolas Ashwell, Tri Setiyono, Brenda Tubana, Lu Peng, Magdy Bayoumi, Nian-Feng Tzeng

In this work, we develop a deep learning-based solution, namely Multi-Modal Spatial-Temporal Vision Transformer (MMST-ViT), for predicting crop yields at the county level across the United States, by considering the effects of short-term meteorological variations during the growing season and the long-term climate change on crops.

Contrastive Learning Crop Yield Prediction +1

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