Cargando…
Communication-Efficient and Privacy-Preserving Verifiable Aggregation for Federated Learning
Federated learning is a distributed machine learning framework, which allows users to save data locally for training without sharing data. Users send the trained local model to the server for aggregation. However, untrusted servers may infer users’ private information from the provided data and mist...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453387/ https://www.ncbi.nlm.nih.gov/pubmed/37628155 http://dx.doi.org/10.3390/e25081125 |