All software

1-8 of 8

Vantage6

An open-source platform for supporting the development of federated learning projects

federated learning
healthcare
privacy preserving analysis
+ 1

(Dockerfile)
("Go Template")
(HTML)
+ 7

fltk

FLTK toolkit supporting the publication: Aergia: leveraging heterogeneity in federated learning systems

federated learning
resource heterogeneity
Stragglers
+ 1

(Markdown)
(Other)
(Python)
+ 2

FedvsCent

Code supporting chapter 3 of the PhD thesis: "A comprehensive experimental comparison between federated and centralized learning Open Access"

benchmark
complex models
Distributed data
+ 3

fedKMeans

Code supporting chapter 4 of the PhD thesis: Federated K-Means Clustering.

Big data
Clustering
federated learning
+ 3

PETsChallenge

Code underlying: Privacy-Preserving Membership Queries for Federated Anomaly Detection

Anomaly detection
cryptography
elliptic curves
+ 4

(HTML)
(Markdown)
(Other)
+ 4

Catalyst

Morph: Code Supporting the Publication: Dynamic Topology Optimization for Non-IID Data in Decentralized Learning

asynchronous
Byzantine Robustness
Client Heterogeneity
+ 1

("Jupyter Notebook")
(Markdown)
(Other)
+ 2

Nomad

Code supporting the publication: Nomad: Accelerating Geo-distributed Learning with Client Transfers

asynchronous learning
client-churn
federated learning
+ 2

(JSON)
(Markdown)
(Other)
+ 3

Verticox+

Verticox+ is a Cox proportional hazards algorithm for vertically distributed data. The solution is based on the Verticox algorithm from Dai et al., 2022. It has been adapted to be used within the Vantage6 framework.

federated learning
Java
privacy preservation
+ 3

(Dockerfile)
(Java)
(Jinja)
+ 4