3 papers
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…
cs.DC2025
PruneX: A Hierarchical Communication-Efficient System for Distributed CNN Training with Structured Pruning
Alireza Olama, Andreas Lundell, Izzat El Hajj +2
Inter-node communication bandwidth increasingly constrains distributed training at scale on multi-node GPU clusters. While compact models are the ultimate deployment target, conven…
cs.RO2025
Adaptive Factor Graph-Based Tightly Coupled GNSS/IMU Fusion for Robust Positionin
Elham Ahmadi, Alireza Olama, Petri Välisuo +1
Reliable positioning in GNSS-challenged environments remains a critical challenge for navigation systems. Tightly coupled GNSS/IMU fusion improves robustness but remains vulnerable…