Call For Paper and DemoWorkshop on Wireless Networking Innovations

for Mobile Edge Learning

Scope and MotivationMachine learning (ML) and AI have flourished as key contributors to many research fields, one of whichbeing wireless networking and MEC. Contrarily, very limited works in the wireless networking realmsaimed to facilitate the operation of ML/AI at the edges. Achieving significant advancements in thisreverse direction is becoming more and more indispensable due to the massive amounts of datagenerated at the edge resulting from the rapid adoption of the Internet of Everything. Forecastsenvision that 90% of such data will be analyzed in a distributed manner on the edge devices. Beingmostly 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 suchdevices requires fundamental changes in and innovative designs of wireless networking and MECprotocols. Meanwhile, training powerful ML models based on the enormous data generated by thesedevices demands highly efficient task/data/parameter exchanges in harsh mobile environments andvarious network settings, while preserving data privacy. These trends have recently established thenew research direction of Mobile Edge Learning (MEL), which calls for innovations in wirelessnetworking, ranging from transmission technologies, network protocols, to MEL-friendly architectures.The purpose of this workshop is to invite submissions on the latest advancements in wirelessnetworking 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 toidentify 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

Demo Showcase and CompetitionIn addition to technical paper submissions, the workshop will feature a demo showcase andcompetition session, in which:• Two state-of-the-art labs in the field will be invited MEL to showcase their MEL demos• Other demos and testbeds can participate in an MEL demo competition.Interested labs, and enterprises are invited to send a two-page description and a short video of theirdemo/testbed to abcdefg@higk.com and will be notified on their acceptance to showcase their demoand enter the competition

Workshop Organizers• Sameh Sorour

Queen’s University, Canada• Hatem Abou-Zeid

Ericsson, Canada• Yansha Ding

King’s College London, UK• Jun Zhang

Hong Kong Polytechnic University, Hong Kong

Keynote Speakers• Prof. Deniz Gündüz,

Imperial College London, UK• Julien Forgeat

Ericsson Global A.I. Accelerator

Panelist (Tentative)• Daniel Desjardins

King’s Distributed Systems• Rath Vannithamby

Intel Corporation• Rajesh Mishra

Parallel Wireless Inc.• Peter Kairouz

Google• Shiqiang Wang

IBM T. J. Watson Research Center• Arthur Brisebois

Ericsson Global A.I. Accelerator

Important Dates:• Paper Submission

20 January 2021• Acceptance Notification

20 February 2021• Camera Ready

01 March 2021• Demo Application

20 February 2021• Admission Notification

20 March 2021

Paper Submission All papers for must be submitted via EDAS. Full instructions on how to submit papers are provided on the IEEE ICC2021 website: https://icc2021.ieee-icc.org/