Differentially Private Distributed Data Summarization under Covariate Shift

NeurIPS 2019 Kanthi SarpatwarKarthikeyan ShanmugamVenkata Sitaramagiridharganesh GanapavarapuAshish JagmohanRoman Vaculin

We envision AI marketplaces to be platforms where consumers, with very less data for a target task, can obtain a relevant model by accessing many private data sources with vast number of data samples. One of the key challenges is to construct a training dataset that matches a target task without compromising on privacy of the data sources... (read more)

PDF Abstract


No code implementations yet. Submit your code now

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.