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cs.LG2025
Federated Gaussian Mixture Models
Sophia Zhang Pettersson, Kuo-Yun Liang, Juan Carlos Andresen
This paper introduces FedGenGMM, a novel one-shot federated learning approach for Gaussian Mixture Models (GMM) tailored for unsupervised learning scenarios. In federated learning…
cs.LG2022★ 5 cited
Modular Federated Learning
Kuo-Yun Liang, Abhishek Srinivasan, Juan Carlos Andresen
Federated learning is an approach to train machine learning models on the edge of the networks, as close as possible where the data is produced, motivated by the emerging problem o…