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Software systems powering sophisticated embedded devices are very complex these days. Systems running on mobile phones, operating system in cars, software that runs the production processes in factories, etc., build the foundation of infrastructure that billions of people rely on every day.
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FedP2EFT: Federated Learning to Personalize Parameter Efficient Fine-Tuning for Multilingual LLMs
AuthorRoyson Lee, Minyoung Kim, Rui Li, Stylianos I. Venieris, Timothy Hospedales
PublishedConference on Artificial Intelligence (AAAI)
Date2026-01-20
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