Workshop on distributed computing, optimization & learning WDCL 2024

22-23 May, 2024, Paris, France

Distributed computing plays an ever-increasing role in speeding up non-linear and computationally-hard computing tasks. As the complexity of these tasks increases, research seeks novel parallel processing techniques to efficiently offload computations to groups of distributed servers, under various frameworks such as MapReduce and Spark. Distributed computing naturally entails several challenges that involve accuracy, scalability, privacy and security, as well as latency and straggler mitigation.

With the support of German-French academy founded by IMT and TUM, WDCL 2024 will be an international scientific workshop dedicated to distributed computing, distributed learning, and communication and computation tradeoffs. WDCL 2024 will take place at the ISEP auditorium, in Issy-les-Moulineaux, France. The workshop will be held from May 22 to May 23, 2024.

WDCL will seek to highlight contributions on recent developments that combine coded distributed computing and advanced learning techniques. It will include the intersections of computing with advanced PHY techniques, and will show the great potential of advanced distributed computing techniques in the development of the 6G vision. The workshop will also seek to explore many new ideas on how novel clique-based coding techniques that exploit data redundancy, can indeed play a crucial role on elevating edge-computing to the next level of 6G. The same underlying mathematical machinery makes our workshop relevant to a variety of applications in edge-computing. WDCL will make an effort to connect all these ingredients, seeking to promote insight on how these ingredients are all linked, describing some solutions and emphasizing on providing a lively discussion on the upcoming many challenges.

WDCL will bring expert researchers from academia and industry with various backgrounds and various active topics in research, including

· Caching for computation, Coding for computation

· Coding for distributed and parallel systems, Coding for efficient updates

· Distributed coding for content access, in caches and the edge

· Learning at the edge, Learning algorithms

· Over-the-air computing, Computation in sensor networks

ORGANIZERS

Petros Elia – EURECOM, Chair and TPC, elia@eurecom.fr

Derya Malak – EURECOM, TPC Co-Chair, malak@eurecom.fr

Michèle Wigger - Telecom Paris, TPC Co-Chair, michele.wigger@telecom-paris.fr