| Speaker : | Derya Malak |
| MIT | |
| Date: | 19/06/2019 |
| Time: | 2:00 pm - 3:00 pm |
| Location: | Paris-Rennes Room (EIT Digital) |
Abstract
This talk describes a new perspective on cloud/fog computing, by distributing computation in order to handle the large volume of data with growing computational demand. Our goal is to devise coding techniques for functional compression in networks, by employing the concepts of graph entropy, common information, and exploiting function surjectivity and role of a helper in encoding of functions. These techniques suit different applications such as caching, classification, federated learning, quantization, and compressed sensing. Our unified insights suggest to distribute computation by making use of underlying redundancy both in data and functions, in order to recover a sparse representation, or labeling.
Tags: Function Computation in Networks , Derya Malak , MIT ,