Attending DCC 2021

The International Workshop on Distributed Cloud Computing (DCC) addresses aspects of distributed systems and algorithms, as well as networking and cloud computing. DCC 2021 is co-located with SIGMETRICS 2021.
The “special” topic of DCC 2021 is decentralization in the context of cloud computing. The workshop hosts invited talks from experts on various aspects of decentralization, from both industry and academia. A special focus this year is on promoting excellent work from soon-to-be-graduating students in the area.

Schedule and Talk Details

Workshop date: June 14th 2021
Location: Virtual
(on Zoom)

  1. Introductory remarks
    9am EST
  2. Speaker: Tim Harris, Microsoft
    Title: Hey, you got your distributed algorithm in my ML!
    Time: 9:05am EST
    [abstract&short bio]
  3. Speaker: Maria Apostolaki, ETH Zurich
    Title: Building Secure Distributed Systems atop the Insecure Internet
    Time: 9:50am EST
    [abstract&short bio]
  4. Speaker: Gauri Joshi, Carnegie Mellon University
    Title: Communication-Efficient Optimization Methods for Federated Learning

    Time: 10:35am EST
    [abstract&short bio]
  5. Speaker: Thaleia Doudali, Georgia Tech
    Title: Adding Machine Learning to the Management of Heterogeneous Resources

    Time: 11:20am EST
    [abstract&short bio]
  6. Speaker: Kostantinos Karanasos, Microsoft
    Title:  Scheduling and Tuning an Exabyte-scale Data Infrastructure at Microsoft
    Time: 12:05pm EST
    [abstract&short bio]
  7. Workshop Closing
    Time: 12:50pm EST

How to Participate

Similarly to DCC 2020, our format this year will be entirely virtual.

To attend, please do the following:

  1. Register here:
  2. You will then receive a Zoom link which you can use for attending

Following the workshop, all talks will be publicly available on the DCC Youtube channel.


General Chair: Dan Alistarh (IST Austria)
Publicity Chair: Peter Davies (IST Austria)
Website: Eldar Kurtic (IST Austria)

Workshop History


The workshop is supported by the ACM, IST Austria, and the European Research Council (ERC Starting Grant ScaleML)