3 citations · 5 across the 3 of their papers we have counts for
3 papers
Kernel Looping: Eliminating Synchronization Boundaries for Peak Inference Performance
David Koeplinger, Darshan Gandhi, Pushkar Nandkar +9
Token generation speed is critical to power the next wave of AI inference applications. GPUs significantly underperform during token generation due to synchronization overheads at…
Model-free Learning with Heterogeneous Dynamical Systems: A Federated LQR Approach
Han Wang, Leonardo F. Toso, Aritra Mitra +1
We study a model-free federated linear quadratic regulator (LQR) problem where M agents with unknown, distinct yet similar dynamics collaboratively learn an optimal policy to minim…
DPOAD: Differentially Private Outsourcing of Anomaly Detection through Iterative Sensitivity Learning
Meisam Mohammady, Han Wang, Lingyu Wang +6
Outsourcing anomaly detection to third-parties can allow data owners to overcome resource constraints (e.g., in lightweight IoT devices), facilitate collaborative analysis (e.g., u…