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"Efficient Non-Interactive Polynomial Commitment Scheme in the Discrete" by Peiheng Zhang, Min Tang et al. - Vimarsana News

"Efficient Non-Interactive Polynomial Commitment Scheme in the Discrete" by Peiheng Zhang, Min Tang et al.

Polynomial commitment schemes (PCS) are fundamental components that can effectively solve the problems arising from the combination of IoT and blockchain. These allow a committer to commit to a polynomial and then later evaluate the committed polynomial at an arbitrary challenge point along with a proof of valid, without revealing any additional information about the polynomial. Recent works have presented polynomial commitment schemes based on the discrete logarithm assumption. Their schemes do not require a trusted setup, and the verifier uses homomorphism to check the polynomial evaluation ...

Source: uow.edu.au
"A Privacy-Preserving Federated Learning with Mutual Verification on Ve" by Mingwu Zhang, Chenmei Cui et al. - Vimarsana News

"A Privacy-Preserving Federated Learning with Mutual Verification on Ve" by Mingwu Zhang, Chenmei Cui et al.

Federated learning has received widespread attention in recent years, since it trains a model by only sharing gradients without accessing training sets. In this paper, we consider two security issues in the training process of federated learning, i.e., privacy preservation and message verification, which mainly consider the security of the local gradients uploaded by clients and the aggregation result. We give the detail design about the privacy preserving federated learning with mutual authentication, which provides the privacy-preserving and mutually verifiable federated learning framework o...

Source: uow.edu.au