Call for workshops and tutorials

The 43th Annual ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (PODC 2024) invites proposals for full-day and half-day workshops and tutorials. PODC 2024 will be held in Nantes, France, June 17-21, 2024. The days reserved for the workshops/tutorials are Monday, June 17, and Friday, June 21.



The deadline for sending workshop/tutorial proposals is February 22, 2024, at 23:59 AoE. However, we encourage sending proposals as early as possible.

Notification will be provided shortly after the proposal has been sent; in particular, we will admit proposals already substantially before the deadline to facilitate planning.


The proposals should be sent by e-mail to the Workshop Chair, Sebastian Brandt <>

A proposal should include:

  • Title of the workshop or tutorial
  • A description of the subject matter and why it would be of interest to the PODC community
  • Name(s) and contact information of the organizer(s)
  • Proposed format (e.g., invited speakers only, or peer-reviewed papers with proceedings, etc.)
  • Length: half-day or full-day
  • Date preference: June 17 or June 21
  • Estimated number of speakers and attendees
  • Link to previous editions of the same workshop (if applicable)

If you have any questions, please don’t hesitate to contact Sebastian.


With regards to potential topics, we are looking for proposals related to the current scope of PODC or are new emerging research fields complementing or extending it, including but not restricted to:

  • distributed algorithms: design, analysis, and complexity
  • communication networks: algorithms, architectures, services, protocols, applications
  • multiprocessor and multi-core architectures and algorithms
  • shared and transactional memory, synchronization protocols, concurrent programming
  • fault-tolerance, reliability, availability, self-organization, self-stabilization
  • codes and reliable communication
  • Internet applications, social networks, recommendation systems
  • dynamic, adaptive and machine learning-based distributed algorithms
  • distributed operating systems, middleware platforms, databases
  • game-theoretic approaches to distributed computing
  • distributed mechanisms design
  • peer-to-peer systems, overlay networks, distributed data management
  • high-performance, cluster, cloud and grid computing
  • wireless networks, mobile computing, autonomous agents and robots
  • context-aware distributed systems
  • security in distributed computing, cryptographic protocols
  • distributed cryptocurrencies and blockchain protocols
  • quantum and optics-based distributed algorithms
  • nanonetworks
  • biological distributed algorithms
  • sensor, mesh, and ad hoc networks
  • specification, semantics, verification of concurrent systems