PPML Workshop Talk: What Does it Mean for a Language Model to Preserve Privacy?
AuthorsFlorian Tramèr (Google, ETH Zurich)
PPML Workshop Talk: What Does it Mean for a Language Model to Preserve Privacy?
AuthorsFlorian Tramèr (Google, ETH Zurich)
Empirical Methods in Natural Language Processing (EMNLP) 2026
October 22, 2026
Apple is presenting new research at the 2026 Conference on Empirical Methods in Natural Language Processing (EMNLP), taking place October 24–29 in Budapest, Hungary. EMNLP focuses on research surrounding the science and technology of spoken language processing. Below is an overview of Apple’s participation at EMNLP 2026.
MLX on Mac with Apple silicon lets AI researchers and developers experiment locally with the latest models and methods in a private environment. The open-source array framework leverages the unified memory architecture of Apple silicon, enabling anyone to run new inference and fine-tuning methods on their own hardware and explore other AI techniques. In a previous post, we highlighted the advantages of the M5 architecture and its GPU Neural Accelerators.