DistributedML 2020 DistributedML 2020

1st Workshop on Distributed Machine Learning, co-located with CoNEXT 2020

Machine Learning and Deep Neural Networks are gaining more and more traction in a range of tasks such as image recognition, text mining as well as ASR. Commonly represented as execution graphs, they can be found deployed in a range of devices, from large servers in data centers to small embedded devices, offering them intelligent capabilities. A common denominator between these diverse devices is that they are connected, thus enabling them to collaboratively work towards the learning task.

Be it in a distributed environment, such as a data center, or a highly heterogeneous embedded deployment in the wild, distributed ML poses various challenges from a systems, interconnection and ML theoretical perspective. In this workshop, we want to focus on the network-side of such distributed setups, the unique challenges it presents and novel solutions for optimising collaborative learning tasks. More specifically, we welcome papers in the following areas:

The workshop is co-located with CoNEXT in the beautiful - and sunny - city of Barcelona, in a region close to the beach. All accepted paper will also be included in the conference proceedings and be made available in the ACM Digital Library.

Deadline for paper submissions: 11th September 2020 18th September 2020

Program How to get there Call for Papers Poster