Research implementation of FL privacy-preserving blockchain and differential data sharing

Abstract

The high integration of FL to achieve data privacy preservation in modern mobile applications is bringing users' data to become the most valuable assets in the challenge of realizing robust data privacy policies inside network infrastructures. This means, in other words, that today, securing sensitive user data is becoming more essential than before. In this article, by using FL based privacy preserving ecosystem learn from the situation of data centralized context, we adopt the differential data sharing to realize high performance inside FL blockchain by increasing also it preservation performance. Our result performances by comparing privacy and non-privacy preserving chaincode FL Blockchain shows high performance on keeping protected the data shared environment. Hyperledger Fabric algorithm design simulation scenario reduces considerably all addition noise to keep the entire system work properly. This contribution shows how mobile communication network systems in data privacy and preservation context can be incentivized to allow any users through interchange connection to be rewarded for their work performances, and how differential data sharing scenario can useful to deal with it.