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Zhang et al., 2020 - Google Patents

Efficient federated learning for cloud-based AIoT applications

Zhang et al., 2020

Document ID
12801947202032747929
Author
Zhang X
Hu M
Xia J
Wei T
Chen M
Hu S
Publication year
Publication venue
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

External Links

Snippet

As a promising method for central model training on decentralized device data without compromising user privacy, federated learning (FL) is becoming more and more popular in Internet-of-Things (IoT) design. However, due to limited computing and memory resources of …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06N5/04—Inference methods or devices
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    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
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