The paper sketches an untested architecture integrating adaptive privacy, dynamic masking, blockchain provenance, secure aggregation, and XAI for IoV federated learning.
Secure multi-party computation,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.CR 1years
2025 1verdicts
REJECT 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
FAPL-DM-BC: A Secure and Scalable FL Framework with Adaptive Privacy and Dynamic Masking, Blockchain, and XAI for the IoVs
The paper sketches an untested architecture integrating adaptive privacy, dynamic masking, blockchain provenance, secure aggregation, and XAI for IoV federated learning.