Fairness, Integrity, and Privacy in a Scalable Blockchain-based Federated Learning System

11/11/2021
by   Timon Rückel, et al.
0

Federated machine learning (FL) allows to collectively train models on sensitive data as only the clients' models and not their training data need to be shared. However, despite the attention that research on FL has drawn, the concept still lacks broad adoption in practice. One of the key reasons is the great challenge to implement FL systems that simultaneously achieve fairness, integrity, and privacy preservation for all participating clients. To contribute to solving this issue, our paper suggests a FL system that incorporates blockchain technology, local differential privacy, and zero-knowledge proofs. Our implementation of a proof-of-concept with multiple linear regression illustrates that these state-of-the-art technologies can be combined to a FL system that aligns economic incentives, trust, and confidentiality requirements in a scalable and transparent system.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/23/2022

PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning

Group fairness ensures that the outcome of machine learning (ML) based d...
research
08/22/2021

Personalised Federated Learning: A Combinational Approach

Federated learning (FL) is a distributed machine learning approach invol...
research
06/14/2023

Fairness and Privacy-Preserving in Federated Learning: A Survey

Federated learning (FL) as distributed machine learning has gained popul...
research
05/23/2023

Fair Differentially Private Federated Learning Framework

Federated learning (FL) is a distributed machine learning strategy that ...
research
05/20/2023

Privacy in Multimodal Federated Human Activity Recognition

Human Activity Recognition (HAR) training data is often privacy-sensitiv...
research
07/10/2023

Handling Group Fairness in Federated Learning Using Augmented Lagrangian Approach

Federated learning (FL) has garnered considerable attention due to its p...
research
12/02/2020

Blockchain Assisted Decentralized Federated Learning (BLADE-FL) with Lazy Clients

Federated learning (FL), as a distributed machine learning approach, has...

Please sign up or login with your details

Forgot password? Click here to reset