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- Year in Review
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November 13, 2024
Mapping the ionosphere with the power of Android- Data Mining & Modeling ·
- General Science ·
- Mobile Systems
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February 21, 2024
Advances in private training for production on-device language models- Mobile Systems ·
- Product ·
- Responsible AI ·
- Security, Privacy and Abuse Prevention
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January 31, 2024
MobileDiffusion: Rapid text-to-image generation on-device- Machine Intelligence ·
- Machine Perception ·
- Mobile Systems
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September 15, 2023
MediaPipe FaceStylizer: On-device real-time few-shot face stylization- Machine Perception ·
- Mobile Systems
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June 29, 2023
On-device diffusion plugins for conditioned text-to-image generation- Machine Intelligence ·
- Machine Perception ·
- Mobile Systems
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March 2, 2023
Distributed differential privacy for federated learning- Mobile Systems
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December 14, 2022
Who said what? Recorder's on-device solution for labeling speakers- Mobile Systems ·
- Sound & Accoustics ·
- Speech Processing
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August 3, 2022
Efficient Sequence Modeling for On-Device ML- Conferences & Events ·
- Machine Intelligence ·
- Mobile Systems ·
- Open Source Models & Datasets
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March 3, 2022
TRILLsson: Small, Universal Speech Representations for Paralinguistic Tasks- Machine Intelligence ·
- Mobile Systems ·
- Sound & Accoustics ·
- Speech Processing
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February 28, 2022
Federated Learning with Formal Differential Privacy Guarantees- Machine Intelligence ·
- Mobile Systems ·
- Natural Language Processing ·
- Security, Privacy and Abuse Prevention
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December 16, 2021
A Scalable Approach for Partially Local Federated Learning- Algorithms & Theory ·
- Distributed Systems & Parallel Computing ·
- Mobile Systems ·
- Security, Privacy and Abuse Prevention
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November 22, 2021
Predicting Text Selections with Federated Learning- Mobile Systems ·
- Natural Language Processing