Slides from Workshop on Distributed and Streaming Data

As promised, here are the slides from the STOC Workshop on Algorithms for Distributed and Streaming Data. The workshop was standing-room only so here’s your chance to review the slides while sitting down. More generally, all the workshops seemed to be a great success and I’m happy to see that the experiment will be repeated at FOCS. Deadline for proposals is 20 June.

• Sergei Vassilvitskii, Google: Distributed and Parallel Models
• Andrew McGregor, UMass Amherst: Data Streams and Linear Sketches
• John Langford, Microsoft Research: Fun Machine Learning Problems on Big Data
• Piotr Indyk, MIT: CS on CS: Computer Science Insights into Compressive Sensing (and vice versa)
• Ashish Goel, Stanford and Twitter: Challenges in Industry and Education

Thanks again to the speakers and everyone who came along.

  © Copyright Keith Edkins and licensed for reuse under this Creative Commons Licence

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