Personalized federated learning via directed acyclic graph based blockchain
Abstract Common federated learning (FL) lacks consideration of clients' personalized requirements, which performs poorly for the scenario with data and resource heterogeneity. In order to overcome the challenge of heterogeneous characteristics, this letter proposes a novel decentralized persona...
| Autori principali: | , , , , , , , |
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| Natura: | Articolo |
| Lingua: | English |
| Pubblicazione: |
Wiley
2024-03-01
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| Serie: | IET Blockchain |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1049/blc2.12054 |