48 citations · 108 across the 10 of their papers we have counts for
3 papers · 1 filter
Defending against the Label-flipping Attack in Federated Learning
Najeeb Moharram Jebreel, Josep Domingo-Ferrer, David Sánchez +1
Federated learning (FL) provides autonomy and privacy by design to participating peers, who cooperatively build a machine learning (ML) model while keeping their private data in th…
FL-Defender: Combating Targeted Attacks in Federated Learning
Najeeb Jebreel, Josep Domingo-Ferrer
Federated learning (FL) enables learning a global machine learning model from local data distributed among a set of participating workers. This makes it possible i) to train more a…
Enhanced Security and Privacy via Fragmented Federated Learning
Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Alberto Blanco-Justicia +1
In federated learning (FL), a set of participants share updates computed on their local data with an aggregator server that combines updates into a global model. However, reconcili…