Defending against the label-flipping attack in federated learning
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 …
who cooperatively build a machine learning (ML) model while keeping their private data in …
[PDF][PDF] Defending against the Label-flipping Attack in Federated Learning
NM Jebreel, J Domingo-Ferrer, D Sánchez… - researchgate.net
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 …
who cooperatively build a machine learning (ML) model while keeping their private data in …
[PDF][PDF] Defending against the Label-flipping Attack in Federated Learning
NM Jebreel, J Domingo-Ferrer, D Sánchez… - academia.edu
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 …
who cooperatively build a machine learning (ML) model while keeping their private data in …