Nothing Special   »   [go: up one dir, main page]

×
Please click here if you are not redirected within a few seconds.
Oct 9, 2022 · We propose FedBC, a federal consensus framework for protecting privacy based on additive homomorphic encryption. Using three rounds of broadcast ...
The blockchain proposal has resolved the challenge of consistency in decentralized data sharing. It is difficult to guarantee the accuracy of the block's data ...
The blockchain proposal has resolved the challenge of consistency in decentralized data sharing. It is difficult to guarantee the accuracy of the block's data ...
We present a global to local based privacy-preserving federated consensus scheme against poisoning attacks (FedG2L).
Jun 27, 2024 · To address the above problems, we present a global to local based privacy-preserving federated consensus scheme against poisoning attacks ( ...
A verifiable and privacy-preserving blockchain-based federated learning approach · Securing federated learning with blockchain: a systematic literature review.
Numerical experiments illustrate our algorithms outperform FedDANE, FedAvg and FedProx algorithms, especially for highly heterogeneous federated networks.
Missing: FedBC: | Show results with:FedBC:
期刊:Communications in Computer and Information Science 文献作者:Mengfan Xu; Xinghua Li 出版日期:2022-- DOI号:10.1007/978-981-19-7242-3_10
People also ask
This paper evaluates the proposed blockchain-based federated learning approach using the Proof of Authority (PoA) consensus algorithm on a simulated dataset ...
Accordingly, in this paper, we propose an efficient and multi-private key secure aggregation scheme for federated learning. Specifically, we skillfully ...
Missing: FedBC: | Show results with:FedBC: