22nd International Conference on Distributed Computing and Networking
Jan 5th-8th, 2021
Nara, Japan Virtual Conference

TUTORIAL

January 5, 12:40-14:00 (UTC+9)

Title: Edge Learning for Distributed Big Data Analytics: Theory, Algorithm and System Design

Abstract:

This tutorial will focus on the field of Edge Learning. Specifically, learning paradigms, fundamental theories, and enabling technologies for Edge Learning consist the main components of this tutorial. We will first explain the background and motivation for AI running at the network edge. Then, we will review the challenge issues existing in Edge Learning. Furthermore, we will provide an overview of the overarching architectures, frameworks, and emerging key technologies for learning performance, security, privacy, and incentive issues toward training/inference at the network edge. Finally, we will discuss future research opportunities on Edge Learning.


Speaker: Song Guo

Professor & Associate Head, Department of Computing The Hong Kong Polytechnic University Hong Kong

Song Guo is a Full Professor and Associate Head at Department of Computing, The Hong Kong Polytechnic University. His research interests are mainly in the areas of big data, cloud computing, mobile computing, and distributed systems. Some of his Transactions papers were selected as Featured or Spotlight papers. He is the recipient of the 2019 IEEE TCBD Best Conference Paper Award, 2018 IEEE TCGCC Best Magazine Paper Award, 2019 & 2017 IEEE Systems Journal Annual Best Paper Award, and other 6 Best Paper Awards from IEEE/ACM conferences. His work was also recognized by the 2016 Annual Best of Computing: Notable Books and Articles in Computing in ACM Computing Reviews. Prof. Guo is an IEEE Fellow (Computer Society) and the Editor-in-Chief of IEEE Open Journal of the Computer Society. He was a Distinguished Lecturer of IEEE Communications Society (ComSoc) and served in the IEEE ComSoc Board of Governors. Prof. Guo has been named on editorial board of a number of prestigious international journals like IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Cloud Computing, IEEE Transactions on Emerging Topics in Computing, etc. He has also served as chairs of organizing and technical committees of many international conferences.

See Conference Program

CALL FOR TUTORIALS

22nd International Conference on Distributed Computing and Networking (ICDCN 2021) invites submissions for Tutorial proposals on all topics listed in the Call for Papers of the conference. Tutorial proposals should be no more than four pages and strictly follow the ACM conference style templates. Tutorials are planned to take place in parallel with the rest of the tracks for the entire duration of the conference. The length of each tutorial is supposed to 1.5 hours. The logistics of the Tutorials will be handled by the ICDCN 2021 organization. Specifically, ICDCN 2021 will take care of facilities, catering, and the registration process pertinent to all hosted Tutorials. At least one organizer of an accepted Tutorial is required to attend the conference to carry out the presentation. Each accepted Tutorial will receive one complementary conference registration. Proposal evaluation criteria include the following: relevance to ICDCN, scientific quality, perceived interest and overlap with ICDCN tutorials in the past.

Submission Guidelines

Proposals must include the following sections:

  • Title and abstract.
  • Introduction.
  • Scope, motivation, summary of tutorial.
  • If the organizers have had a similar tutorial held in the past, a brief history-description.
  • Description of target audience and relevance to ICDCN 2021 research topics.
  • Tutorial outline (sections and an overview of their contents).
  • Biographies of presenters.

IMPORTANT DATES FOR TUTORIALS

Submission of Proposals: September 7, 2020
Acceptance Notification: Septemer 28, 2020
Camera Ready Deadline: October 20, 2020
Tutorial (Conference) Dates: January 5-8, 2021

TUTORIAL CO-CHAIRS

  • Takahiro Hara (Osaka University, Japan)
  • Jiannong Cao (Hong Kong Polytechnic University)

contact addresses:
hara[at]ist.osaka-u.ac.jp and csjcao[at]comp.polyu.edu.hk.
Replace "[at]" by "@".