Project FLUTE
Breaking barriers for Federated Learning research at scale
Groups
Established:
Recent research has shown that deploying ML models can, in some cases, implicate privacy in unexpected ways. For example, pretrained public language models that are fine-tuned on private data can be misused to recover private information, and very large language models…
Established:
Privacy in AI group explores questions related to user privacy and confidentiality in machine learning.
Established:
Scientists and engineers in the LEAP (Language, Learning, Audio, Privacy) research area make and harness advances in machine learning, natural language processing, and signal processing to: We advance the state-of-the-art in AI while providing practical solutions to real-world problems and…