A privacy preserving diagnostic collaboration framework for facial paralysis using federated learning
DG Nair, JJ Nair, KJ Reddy, CVA Narayana - Engineering Applications of …, 2022 - Elsevier
Most of the machine learning and artificial intelligence applications are data driven. When it
comes to sensitive data, maintaining the data privacy principles is a big challenge. Building …
comes to sensitive data, maintaining the data privacy principles is a big challenge. Building …
FedG2L: a privacy-preserving federated learning scheme base on “G2L” against poisoning attack
M Xu, X Li - Connection Science, 2023 - Taylor & Francis
Federated learning (FL) can push the limitation of “Data Island” while protecting data privacy
has been a broad concern. However, the centralised FL is vulnerable to a single-point …
has been a broad concern. However, the centralised FL is vulnerable to a single-point …
A Distributed Aggregation Approach for Vehicular Federated Learning
Federated Learning (FL) has rapidly become a crucial paradigm for training Machine
Learning (ML) models when datasets are spread across several devices without …
Learning (ML) models when datasets are spread across several devices without …
[PDF][PDF] Distributed and Federated Learning Optimization with Federated Clustering of IID-users
Federated Learning (FL) is one of the leading learning paradigms for enabling a more
significant presence of intelligent applications in networked and Internet of Things (IoT) …
significant presence of intelligent applications in networked and Internet of Things (IoT) …
Distributed and Federated Learning Optimization with Federated Clustering of IID-users
Federated Learning (FL) is one of the leading learning paradigms for enabling a more
significant presence of intelligent applications in networked and Internet of Things (IoT) …
significant presence of intelligent applications in networked and Internet of Things (IoT) …