Filip Granqvist

Filip Granqvist has been a core contributor to Apple’s Private Federated Learning (PFL) project since its inception in 2018, focusing on applied ML research, software design, and architecture. He is leading the development of Apple’s PFL framework for modelling, both in a simulation environment and for real-world applications using customer devices while preserving privacy. Filip’s expertise in PFL extends to consulting on a range of products at Apple, which span various domains such as language models, vision, and time series analysis. Some of his work has also been published at NeurIPS, ICASSP, and Interspeech. Filip is passionate about federated and decentralized technologies, software architecture for ML, and believes that privacy-preserving technologies are essential for a well-functioning society.