22nd International Conference on Distributed Computing and Networking
Jan 5th-8th, 2021 Nara, JapanVirtual Conference
January 5, 12:40-14:00 (UTC+9)
Title: Edge Learning for Distributed Big Data Analytics: Theory,
and System Design
This tutorial will focus on the field of Edge Learning. Specifically, learning
paradigms, fundamental theories, and enabling technologies for Edge Learning consist
main components of this tutorial. We will first explain the background and
for AI running at the network edge. Then, we will review the challenge issues
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
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
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.
Proposals must include the following sections:
Title and abstract.
Scope, motivation, summary of tutorial.
If the organizers have had a similar tutorial held in the past, a brief
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
Septemer 28, 2020
Camera Ready Deadline:
October 20, 2020
Tutorial (Conference) Dates:
January 5-8, 2021
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 "@".