2021 - WORKSHOP ON WIRELESS NETWORKING INNOVATIONS FOR MOBILE EDGE LEARNING

Machine learning (ML) and AI have flourished as key contributors to many research fields, one of which being wireless networking and MEC. Contrarily, very limited works in the wireless networking realms aimed to facilitate the operation of ML/AI at the edges. Achieving significant advancements in this reverse direction is becoming more and more indispensable due to the massive amounts of data generated at the edge resulting from the rapid adoption of the Internet of Everything. Forecasts envision that 90% of such data will be analyzed in a distributed manner on the edge devices. Being mostly wireless/mobile (e.g., wireless sensors, smartphones, laptops, drones, connected vehicles, XRs), resource-constrained, and highly heterogeneous, implementing one or multiple ML/AI jobs on such devices requires fundamental changes in and innovative designs of wireless networking and MEC protocols. Meanwhile, training powerful ML models based on the enormous data generated by these devices demands highly efficient task/data/parameter exchanges in harsh mobile environments and various network settings, while preserving data privacy. These trends have recently established the new research direction of Mobile Edge Learning (MEL), which calls for innovations in wireless networking, ranging from transmission technologies, network protocols, to MEL-friendly architectures. The purpose of this workshop is to invite submissions on the latest advancements in wireless networking for MEL, to implement fast and efficient edge learning jobs over networks of resource-constrained and heterogeneous mobile devices. It also invites academic and industrial researchers to identify and discuss the major challenges and standardization visions to support MEL.
Topics of Interest
Adaptive allocation of distributed learning tasks in heterogeneous MEL environments
Joint allocation of distributed learning tasks and wireless resources for MEL
Energy awareness and management for MEL
Mobility awareness/management for MEL
Mitigation of physical networking and computing uncertainties for MEL
Network formations for multiple MEL jobs
Multi-hop routing and parameter aggregation for MEL
Multi-hop network formations for highly complicated MEL models
URLLC for MEL
Theoretical modeling and performance analysis for networks involved in MEL
Physical, MAC, scheduling, and network layer protocols for MEL
5G/6G/ Wi-Fi/Bluetooth enabled MEL
MEL in ad-hoc, sensor, vehicular, UAV, and cognitive radio networking environments
Self-organizing MEL networks
Network standardization efforts and/or requirements for MEL
Network authentication and security measures for MEL
Network architectures and protocols for privacy-preserving MEL
Applications of MEL in wireless/mobile environments
MEL for XR, MEC, IoT, V2X, Robotics
MEL field tests and experimental testbeds