🎤 Talks / Teaching and Short Courses
Invited talks and short courses. Each title links to the seminar page or the published material.
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Fine-tuning Federado de Modelos de Linguagem de Grande Escala (LLMs) A four-hour hands-on session on privacy-preserving fine-tuning of large language models across distributed clients, built around the Flower framework.
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Client Clustering for Federated Learning in Data Heterogeneous Scenarios How grouping clients by data distribution makes aggregation more efficient and improves both convergence and personalisation under heterogeneity.
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Fine-tuning Federado de Modelos de Linguagem na Era da Comunicação
An introduction to fine-tuning language models across distributed clients without centralising their data, published in the symposium's "short-course" book.