Search Results for author:
Found 6 papers, 1 papers with code
Online Anomaly Detection over Live Social Video Streaming
After that, we propose a novel model update scheme that incrementally maintains CLSTM and decoder.
Trustworthy Privacy-preserving Hierarchical Ensemble and Federated Learning in Healthcare 4.0 with Blockchain
The advancement of Internet and Communication Technologies (ICTs) has led to the era of Industry 4. 0.
Blockchain-based Federated Learning with Secure Aggregation in Trusted Execution Environment for Internet-of-Things
In FL, local models can be tampered with by attackers.
Committed Private Information Retrieval
A PIR scheme is $v$-verifiable if the client can verify the correctness of the retrieved $x_i$ even when $v \leq k$ servers collude and try to fool the client by sending manipulated data.
Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization
In this paper, we present a system design which offers efficient protection of individual model updates throughout the learning procedure, allowing clients to only provide obscured model updates while a cloud server can still perform the aggregation.
Privacy-Aware Identity Cloning Detection based on Deep Forest
We propose a novel method to detect identity cloning of social-sensor cloud service providers to prevent the detrimental outcomes caused by identity deception.
