most citedGlobal Outlier Detection in a Federated Learning Setting with Isolation Forest

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2024

Flotta: a Secure and Flexible Spark-inspired Federated Learning Framework

Claudio Bonesana, Daniele Malpetti, Sandra Mitrović +2

We present Flotta, a Federated Learning framework designed to train machine learning models on sensitive data distributed across a multi-party consortium conducting research in con…

cs.LG2024★ 1 cited

Global Outlier Detection in a Federated Learning Setting with Isolation Forest

Daniele Malpetti, Laura Azzimonti

We present a novel strategy for detecting global outliers in a federated learning setting, targeting in particular cross-silo scenarios. Our approach involves the use of two server…