2 papers
cs.LG2025
Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models
Junyi Zhu, Ruicong Yao, Taha Ceritli +6
Current network training paradigms primarily focus on either centralized or decentralized data regimes. However, in practice, data availability often exhibits a hybrid nature, wher…
cs.LG2025
A Powerful Random Forest Featuring Linear Extensions (RaFFLE)
Jakob Raymaekers, Peter J. Rousseeuw, Thomas Servotte +2
Random forests are widely used in regression. However, the decision trees used as base learners are poor approximators of linear relationships. To address this limitation we propos…