2 papers
cs.LG2026
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 a…
stat.ML2025
Federated Learning With L0 Constraint Via Probabilistic Gates For Sparsity
Krishna Harsha Kovelakuntla Huthasana, Alireza Olama, Andreas Lundell
Federated Learning (FL) is a distributed machine learning setting that requires multiple clients to collaborate on training a model while maintaining data privacy. The unaddressed…