2nd Workshop on Distributed AI/ML at the Resource-Constrained Edge
Co-located with MILCOM 2024
Program
Washington, DC, USA, Oct. 28 2024
2nd Workshop on Distributed AI/ML at the Resource-Constrained Edge
Co-located with MILCOM 2024
Program
Washington, DC, USA, Oct. 28 2024
0755 - Welcome & Overview of Workshop
0800 - Invited Talk: Prof. Alex Sprintson, Texas A&M
0830 - Invited Talk: Multi-agent reinforcement learning for dynamic spectrum and power allocation. Prof. Dongning Guo (Northwestern University).
0900 - Invited Talk: Sustainable and Distributed Artificial Intelligence over Resource-Constrained Edge Devices. Prof. Walid Saad, Virginia Tech
0930 - Invited Talk: Continual Learning and Synthetic Data Generation. Dr. Sastry Kompella, Nexcepta
1000 - Break
1020 - Paper Session #1: AI/ML at the Resource-Constrained Edge
20 mins - Co-Design of Decision Trees for Network Intrusion Detection at the Edge on Digital vs. Analog Hardware. Joseph Riem and Lei Zhang (George Washington University, USA); Jingdi Chen (GWU, USA); Henry Mackay and Tian Lan (George Washington University, USA); Nathaniel D. Bastian (United States Military Academy, USA); Gina Adam (The George Washington University, USA)
20 mins - Multi-Agent Reinforcement Learning for Distributed Workflow Orchestration at the Tactical Edge. Alessandro Amato (University of West Florida & Institute for Human & Machine Cognition, USA); Alessandro Morelli (Florida Institute for Human & Machine Cognition, USA); Mattia Fogli (University of Ferrara, Italy); Raffaele Galliera (University of West Florida & Institute for Human and Machine Cognition, USA); Niranjan Suri (US Army Research Laboratory (ARL) & Florida Institute for Human & Machine Cognition (IHMC), USA)
1100 - Invited Talk: Tactical Networks and AI&ML to the Edge. Dr. Kevin Chan, Army Research Lab
1130 - Invited Talk: Prof. Tian Lan, George Washington University
1200 - Closing Workshop Remarks & Workshop Adjourns