4 citations · 4 across the 5 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.LG2026
Grow, Assess, Compress: Adaptive Backbone Scaling for Memory-Efficient Class Incremental Learning
Adrian Garcia-Castañeda, Jon Irureta, Jon Imaz +1
Class Incremental Learning (CIL) poses a fundamental challenge: maintaining a balance between the plasticity required to learn new tasks and the stability needed to prevent catastr…
cs.LG2026
Mixture of Predefined Experts: Maximizing Data Usage on Vertical Federated Learning
Jon Irureta, Gorka Azkune, Jon Imaz +2
Vertical Federated Learning (VFL) has emerged as a critical paradigm for collaborative model training in privacy-sensitive domains such as finance and healthcare. However, most exi…