FedML-HE: An efficient homomorphic-encryption-based privacy-preserving federated learning system
Practical multi-key homomorphic encryption for more flexible and efficient secure federated average aggregation
In this work, we introduce a lightweight communication-efficient multi-key approach suitable
for the Federated Averaging rule. By combining secret-key RLWE-based HE, additive secret …
for the Federated Averaging rule. By combining secret-key RLWE-based HE, additive secret …
[PDF][PDF] Efficient privacy-friendly and flexible IoT data aggregation with user-centric access control
This paper proposes a novel efficient and privacypreserving scheme, named SAMA,
designed to support secure aggregation and sharing of data intended for users and multiple …
designed to support secure aggregation and sharing of data intended for users and multiple …
Privacy-preserving spam filtering using homomorphic and functional encryption
Conventional spam classification requires the end-users to reveal the content of incoming
emails to a classifier so that text analysis can be performed. On the other hand, new …
emails to a classifier so that text analysis can be performed. On the other hand, new …