(英文)零知识证明 Zero-Knowledge Proofs BackGround Machine learning has become increasingly prominent and is widely used in various applications in practice. Despite its great success, the integrity of machine learning predictions and accuracy is a rising concern. The reproducibility of machine learning ...
homomorphic-encryptionsecure-computationfederated-learningprivacy-preserving-machine-learningzero-knowledge-proofssecure-multiparty-computation UpdatedApr 26, 2022 C++ LuozhuZhang/awesome-zkevm Star470 Code Issues Pull requests A curated list of awesome zkEVM resources, libraries, tools and more ...
Zero-knowledge proofs. 来自 ACM 喜欢 0 阅读量: 22 作者:Wayner,P.,Jones,P W.摘要: One of the most promising applications of machine learning to problem solving is in the embryonic field of neural networks. Other sections on Back-propagation; Optimizing compilers; A search strategy for common...
A curated list of awesome things related to learning Zero-Knowledge Proofs (ZKP). - matter-labs/awesome-zero-knowledge-proofs
Federated learning (FL) enables distributed clients to privately train machine learning models using their own local data, thus avoiding the security risk of directly exchanging private data between clients and servers. However, there is a risk in federated learning: a malicious party may launch a ...
Zero knowledgeCluster computingMapReduceLarge computations, when amenable to distributed parallel execution, are often executed on computer clusters, for scalability and cost reasons. Such computations are used in many applications, including, to name but a few, machine learning, webgraph mining, and ...
S. Harmeling. Learning to detect unseen object classes by between-class attribute transfer. In ...
Zero knowledgeCluster computingMapReduceLarge computations, when amenable to distributed parallel execution, are often executed on computer clusters, for scalability and cost reasons. Such computations are used in many applications, including, to name but a few, machine learning, webgraph mining, and ...
Zero-shot learning (ZSL) aims to recognize novel classes by transferring semantic knowledge from seen classes to unseen classes. Though many ZSL methods re... L Zhou,Y Liu,P Zhang,... - 《Machine Learning》 被引量: 0发表: 2023年 Generating visual representations for zero-shot learning via...
in-context learning of corpus and fine-tuning, which then leads to approaches such as zero-shot, few-shot learning from the end, and data augmentation... A Mohammadjafari,AS Maida,R Gottumukkala 被引量: 0发...