Recent Developments in Statistical Theory and Methods Based on Distributed Computing (18w5089)

Arriving in Oaxaca, Mexico Sunday, May 20 and departing Friday May 25, 2018


(North Carolina State University)

(Georgia Institute of Technology)

(University of California, Los Angeles)

(University of Waterloo)


The Casa Matemática Oaxaca (CMO) will host the "Recent Developments in Statistical Theory and Methods Based on Distributed Computing" workshop from May 20th to May 25th, 2018.

In the era of so-called "big data", it is almost impossible to store data in a single device or central location and thus it has become a major challenge to make inference by developing methodologies that can be performed on data distributed across many devices or locations. For example, a search engine company may have data coming from a large number of locations, and each location collects Tera-bytes of data per day; building a data center to store all existing data can be very costly or unsecured. On a different setting, high volume of data (like images or videos) have to be stored in relatively smaller parts, instead of on a centralized server, and aggregated inference are needed. This workshop will explore algorithmic and theoretical problems in distributed inference and computation. Thus, the workshop will address a contemporary issue in mathematical sciences with significant impact in industrial applications.

This workshop will bring together researchers from both statistics and applied mathematics who are working on distributed inference and distributed computing. The applied focus of this workshop is on the explorations of the methodology for the computing and modeling architecture for distributed data, including data ingestion and staging platform, enterprise data warehouse and analytics platform. To do so, this workshop will bring academic and industrial researchers together for the exploration and scientific discussions on recent challenges faced by practitioners and related cutting-edge theories and proven best practices in both academia and industries on distributed data analytics.

The Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, are collaborative Canada-US-Mexico ventures that provide an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station in Banff is supported by Canada's Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), Alberta's Advanced Education and Technology, and Mexico's Consejo Nacional de Ciencia y Tecnología (CONACYT). The research station in Oaxaca is funded by CONACYT.