Data Summarization and Distributed Computation

被引：0
|
作者：
Cormode, Graham [1 ]
机构：
[1] Univ Warwick, Comp Sci, Data Management Privacy & Big Data Anal, Warwick, England
来源：
PODC'18: PROCEEDINGS OF THE 2018 ACM SYMPOSIUM ON PRINCIPLES OF DISTRIBUTED COMPUTING | 2018年
基金：
欧洲研究理事会;
关键词：
D O I：
10.1145/3212734.3212795
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The notion of summarization is to provide a compact representation of data which approximately captures its essential characteristics. If such summaries can be created, they can lead to efficient distributed algorithms which exchange summaries in order to compute a desired function. In this talk, I'll describe recent efforts in this direction for problems inspired by machine learning: building graphical models over evolving, distributed training examples, and solving robust regression problems over large, distributed data sets.
引用
收藏
页码：167 / 168
页数：2
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