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Jurnal
World Wide Web
Scopus
ISSN 1386-145X · Springer Science+Business Media · 2 artikel di indeks
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Artikel Jurnal Teks lengkap
When large language models meet personalization: perspectives of challenges and opportunities
Abstract The advent of large language models marks a revolutionary breakthrough in artificial intelligence. With the unprecedented scale of training and model parameters, the capability of large language models has been dramatically improved, leading to human-like performances in understanding…
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Artikel Jurnal Teks lengkap
Multi-center federated learning: clients clustering for better personalization
Abstract Personalized decision-making can be implemented in a Federated learning (FL) framework that can collaboratively train a decision model by extracting knowledge across intelligent clients, e.g. smartphones or enterprises. FL can mitigate the data privacy risk of collaborative training since…