Tech Xplore

Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
Interesting Engineering

US researchers build fall-safe biped robots to advance real-world reinforcement learning

HybridLeg robots Olaf and Snogie use impact-safe design and self-recovery to enable scalable, real-world hardware ...
IEEE

Robust DC Series Arc Fault Detection in Photovoltaic Systems via Multifeature Fusion and Heterogeneous Ensemble Learning

Abstract: The dc arc fault is one of the typical faults in photovoltaic (PV) systems, which can lead to fire accidents in several cases. Therefore, it is necessary to develop an effective arc fault ...
IEEE

Inverse Learning of Black-box Aggregator for Robust Nash Equilibrium

We study the robustness of the Nash equilibrium (NE) in aggregative games with coupling constraints. When the constraint parameters are uncertain, the associated NE might be perturbed. It is essential ...
GitHub

Towards compute-efficient Byzantine-robust federated learning with fully homomorphic encryption

This repo is the official repo for Towards compute-efficient Byzantine-robust federated learning with fully homomorphic encryption. To evaluate Lancelot, we first install HomoMul GPU Accelerator ...