We introduce a new, generic framework for private data analysis. The goal of private data analysis is to release aggregate information about a data set while protecting the privac...
Hop-by-hop data aggregation is a very important technique for reducing the communication overhead and energy expenditure of sensor nodes during the process of data collection in a...
Determining the provenance of data, i.e. the process that led to that data, is vital in many disciplines. For example, in science, the process that produced a given result must be...
Simon Miles, Steve Munroe, Michael Luck, Luc Morea...
Scalable analysis on large data sets has been core to the functions of a number of teams at Facebook - both engineering and nonengineering. Apart from ad hoc analysis of data and ...
Recently there has been renewed interest in building reliable servers that support continuous application operation. Besides maintaining system state consistent after a failure, o...