Dynamic Bandwidth Slicing in Passive Optical Networks to Empower Federated Learning
Dynamic Bandwidth Slicing in Passive Optical Networks to Empower Federated Learning
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Publisher
Switzerland: MDPI AG
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English
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Switzerland: MDPI AG
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Federated Learning (FL) is a decentralized machine learning method in which individual devices compute local models based on their data. In FL, devices periodically share newly trained updates with the central server, rather than submitting their raw data. The key characteristics of FL, including on-device training and aggregation, make it interest...
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Dynamic Bandwidth Slicing in Passive Optical Networks to Empower Federated Learning
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TN_cdi_doaj_primary_oai_doaj_org_article_dba346e252b243bea6f40e6d23b59dc3
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_dba346e252b243bea6f40e6d23b59dc3
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s24155000
