most citedFederated Learning is Better with Non-Homomorphic Encryption

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CR2023★ 3 cited

Federated Learning is Better with Non-Homomorphic Encryption

Konstantin Burlachenko, Abdulmajeed Alrowithi, Fahad Ali Albalawi +1

Traditional AI methodologies necessitate centralized data collection, which becomes impractical when facing problems with network communication, data privacy, or storage capacity.…