Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385695295> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W4385695295 abstract "Federated learning is a machine learning technique that allows multiple devices to collaboratively train a machine learning model without sharing their data with a central server. The data is kept on the local device, and the model is trained on the device itself. It also reduces the risk of data breaches and enhances privacy by keeping the data local to the device. It can improve the speed and efficiency of training large-scale models by distributing the workload across multiple devices. This paper proposes a solution to the security challenges faced by the federated learning framework, which allows global model construction without sharing raw data. Privacy-preserving and verifiable decentralized federated learning (PPVD-FL) is a framework designed for secure deep learning model training. It's a decentralized federated learning framework that pre-serves privacy and ensures verification. The framework uses an efficient and verifiable cipher-based matrix multiplication algorithm along with a suite of decentralized algorithms. It maintains the confidentiality of the global model and local updates and verifies every training step. PPVD-FL can protect privacy against various inference attacks and ensure training integrity, as shown by security analysis. Real-world experiments on datasets demonstrate its accuracy and practical performance." @default.
- W4385695295 created "2023-08-10" @default.
- W4385695295 creator A5033188305 @default.
- W4385695295 creator A5050454525 @default.
- W4385695295 creator A5052889812 @default.
- W4385695295 creator A5063666718 @default.
- W4385695295 creator A5092604823 @default.
- W4385695295 creator A5092617782 @default.
- W4385695295 date "2023-06-15" @default.
- W4385695295 modified "2023-09-25" @default.
- W4385695295 title "Privacy-Preserving and Verifiable Decentralized Federated Learning" @default.
- W4385695295 cites W3014517104 @default.
- W4385695295 cites W3037806987 @default.
- W4385695295 cites W3120721446 @default.
- W4385695295 cites W3122294042 @default.
- W4385695295 cites W3161501971 @default.
- W4385695295 cites W3172836181 @default.
- W4385695295 cites W3178974671 @default.
- W4385695295 cites W3186590963 @default.
- W4385695295 cites W3190772738 @default.
- W4385695295 cites W3206162503 @default.
- W4385695295 cites W4220842548 @default.
- W4385695295 cites W4285218634 @default.
- W4385695295 cites W4294250424 @default.
- W4385695295 cites W4310677091 @default.
- W4385695295 cites W4313017734 @default.
- W4385695295 cites W4323065874 @default.
- W4385695295 cites W4377224122 @default.
- W4385695295 doi "https://doi.org/10.1109/icepe57949.2023.10201599" @default.
- W4385695295 hasPublicationYear "2023" @default.
- W4385695295 type Work @default.
- W4385695295 citedByCount "0" @default.
- W4385695295 crossrefType "proceedings-article" @default.
- W4385695295 hasAuthorship W4385695295A5033188305 @default.
- W4385695295 hasAuthorship W4385695295A5050454525 @default.
- W4385695295 hasAuthorship W4385695295A5052889812 @default.
- W4385695295 hasAuthorship W4385695295A5063666718 @default.
- W4385695295 hasAuthorship W4385695295A5092604823 @default.
- W4385695295 hasAuthorship W4385695295A5092617782 @default.
- W4385695295 hasConcept C119857082 @default.
- W4385695295 hasConcept C120314980 @default.
- W4385695295 hasConcept C123201435 @default.
- W4385695295 hasConcept C132964779 @default.
- W4385695295 hasConcept C142724271 @default.
- W4385695295 hasConcept C154945302 @default.
- W4385695295 hasConcept C177264268 @default.
- W4385695295 hasConcept C199360897 @default.
- W4385695295 hasConcept C204787440 @default.
- W4385695295 hasConcept C2779965156 @default.
- W4385695295 hasConcept C2992525071 @default.
- W4385695295 hasConcept C38652104 @default.
- W4385695295 hasConcept C41008148 @default.
- W4385695295 hasConcept C71924100 @default.
- W4385695295 hasConcept C85847156 @default.
- W4385695295 hasConceptScore W4385695295C119857082 @default.
- W4385695295 hasConceptScore W4385695295C120314980 @default.
- W4385695295 hasConceptScore W4385695295C123201435 @default.
- W4385695295 hasConceptScore W4385695295C132964779 @default.
- W4385695295 hasConceptScore W4385695295C142724271 @default.
- W4385695295 hasConceptScore W4385695295C154945302 @default.
- W4385695295 hasConceptScore W4385695295C177264268 @default.
- W4385695295 hasConceptScore W4385695295C199360897 @default.
- W4385695295 hasConceptScore W4385695295C204787440 @default.
- W4385695295 hasConceptScore W4385695295C2779965156 @default.
- W4385695295 hasConceptScore W4385695295C2992525071 @default.
- W4385695295 hasConceptScore W4385695295C38652104 @default.
- W4385695295 hasConceptScore W4385695295C41008148 @default.
- W4385695295 hasConceptScore W4385695295C71924100 @default.
- W4385695295 hasConceptScore W4385695295C85847156 @default.
- W4385695295 hasLocation W43856952951 @default.
- W4385695295 hasOpenAccess W4385695295 @default.
- W4385695295 hasPrimaryLocation W43856952951 @default.
- W4385695295 hasRelatedWork W3008343982 @default.
- W4385695295 hasRelatedWork W3039437223 @default.
- W4385695295 hasRelatedWork W3173159171 @default.
- W4385695295 hasRelatedWork W4213390626 @default.
- W4385695295 hasRelatedWork W4214823172 @default.
- W4385695295 hasRelatedWork W4214940550 @default.
- W4385695295 hasRelatedWork W4246751904 @default.
- W4385695295 hasRelatedWork W4287865753 @default.
- W4385695295 hasRelatedWork W4307945509 @default.
- W4385695295 hasRelatedWork W4323546569 @default.
- W4385695295 isParatext "false" @default.
- W4385695295 isRetracted "false" @default.
- W4385695295 workType "article" @default.