arxivcs.LGcs.AIcs.DCstat.ML2026-06-30
Entropy-Regularized Probabilistic Gates for Sparse Model Discovery in Scarce-Data Federated Learning
Krishna Harsha Kovelakuntla Huthasana, Alireza Olama, Andreas Lundell
Federated Learning (FL) is a distributed machine learning (ML) paradigm with collaboration among multiple clients without sharing data. FL is challenging under data heterogeneity and partial client participation. Learning sparse models is useful for communication and computationa…