2 papers
cs.LG2026
Constraint-Aware Aggregation for Federated Reinforcement Learning in Microgrid Energy Coordination
Usman Haider, Karl Mason
Federated Reinforcement Learning (FedRL) enables coordination of distributed energy resources without sharing raw local data, but standard aggregation methods such as FedAvg do not…
cs.CV2025
BioLite U-Net: Edge-Deployable Semantic Segmentation for In Situ Bioprinting Monitoring
Usman Haider, Lukasz Szemet, Daniel Kelly +3
Bioprinting is a rapidly advancing field that offers a transformative approach to fabricating tissue and organ models through the precise deposition of cell-laden bioinks. Ensuring…