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Sean Augenstein

3 papers · 2020–2023 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

CVPR (1) ICLR (1) Interspeech (1)

Top co-authors

Rajiv Mathews (2) H. Brendan McMahan (2) Mingqing Chen (1) Jessica Nguyen (1) Daniel Ramage (1) Kurt Partridge (1) Ignacio Lopez-Moreno (1) Swaroop Ramaswamy (1) Neng Chen (1) Andrew Hard (1)

Research topics

Machine Learning (3) Application Areas (3) Artificial Intelligence (2) Core Methods (2) Learning Paradigms · Artificial Intelligence (2) Deep Learning (1) Speech & Audio (1) Learning Paradigms · Machine Learning (1) Models (1) Recognition (1)

Keywords

federated learning (3) differential privacy (1) knowledge distillation (1) model distillation (1) keyword spotting (1) generative model (1) recurrent neural network (1) privacy-utility trade-off (1) generative adversarial network (1) on-device training (1) image embedding (1) joint training (1) user-level differential privacy (1) confidence filtering (1) data inspection (1)

Papers

Learning To Generate Image Embeddings With User-Level Differential Privacy CVPR 2023 Production federated keyword spotting via distillation, filtering, and joint federated-centralized training Interspeech 2022 Generative Models for Effective ML on Private, Decentralized Datasets ICLR 2020