A comprehensive survey of security and privacy challenges in semantic communication, categorized by the SemCom life cycle and paired with available defense technologies.
Blockchained On-Device Federated Learning
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
By leveraging blockchain, this letter proposes a blockchained federated learning (BlockFL) architecture where local learning model updates are exchanged and verified. This enables on-device machine learning without any centralized training data or coordination by utilizing a consensus mechanism in blockchain. Moreover, we analyze an end-to-end latency model of BlockFL and characterize the optimal block generation rate by considering communication, computation, and consensus delays.
fields
cs.CR 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
A Survey of Secure Semantic Communications
A comprehensive survey of security and privacy challenges in semantic communication, categorized by the SemCom life cycle and paired with available defense technologies.