13 citations · 14 across the 3 of their papers we have counts for
3 papers
Reducing Communication Overhead in Federated Learning for Network Anomaly Detection with Adaptive Client Selection
William Marfo, Deepak Tosh, Shirley Moore +2
Communication overhead in federated learning (FL) poses a significant challenge for network anomaly detection systems, where diverse client configurations and network conditions im…
Assessing the Impact of Distribution Shift on Reinforcement Learning Performance
Ted Fujimoto, Joshua Suetterlein, Samrat Chatterjee +1
Research in machine learning is making progress in fixing its own reproducibility crisis. Reinforcement learning (RL), in particular, faces its own set of unique challenges. Compar…
MAPA: Multi-Accelerator Pattern Allocation Policy for Multi-Tenant GPU Servers
Kiran Ranganath, Joshua D. Suetterlein, Joseph B. Manzano +2
Multi-accelerator servers are increasingly being deployed in shared multi-tenant environments (such as in cloud data centers) in order to meet the demands of large-scale compute-in…