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Privacy-preserving data fusion for traffic state estimation: A vertical federated learning approach
This paper proposes a privacy-preserving data fusion method for traffic state estimation
(TSE). Unlike existing works that assume all data sources to be accessible by a single …
(TSE). Unlike existing works that assume all data sources to be accessible by a single …
[HTML][HTML] Advancing federated learning through verifiable computations and homomorphic encryption
B Zhang, G Lu, P Qiu, X Gui, Y Shi - Entropy, 2023 - mdpi.com
Federated learning, as one of the three main technical routes for privacy computing, has
been widely studied and applied in both academia and industry. However, malicious nodes …
been widely studied and applied in both academia and industry. However, malicious nodes …
Amaze: Accelerated mimc hardware architecture for zero-knowledge applications on the edge
A Ahmed, N Sheybani, D Moreno, NB Njungle… - ar** Verifiable Computations and Homomorphic Encryption to Promote Federated Learning
V Maurya, I Kumar, N Kumar - 2024 Second International …, 2024 - ieeexplore.ieee.org
This paper proposes creative solutions to address security issues in federated learning,
particularly regarding malicious nodes and confidentiality protection for the global model. It …
particularly regarding malicious nodes and confidentiality protection for the global model. It …