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01/26/2023
GPU-based Private Information Retrieval for On-Device Machine Learning Inference
On-device machine learning (ML) inference can enable the use of private ...
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03/05/2022
Tabula: Efficiently Computing Nonlinear Activation Functions for Secure Neural Network Inference
Multiparty computation approaches to secure neural network inference tra...
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11/17/2021
The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage
The People's Speech is a free-to-download 30,000-hour and growing superv...
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06/10/2021
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix
We show that aggregated model updates in federated learning may be insec...
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06/07/2021
Widening Access to Applied Machine Learning with TinyML
Broadening access to both computational and educational resources is cri...
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02/26/2020
Quantized Neural Network Inference with Precision Batching
We present PrecisionBatching, a quantized inference algorithm for speedi...
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10/02/2019
Quantized Reinforcement Learning (QUARL)
Recent work has shown that quantization can help reduce the memory, comp...
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03/15/2018
Word2Bits - Quantized Word Vectors
Word vectors require significant amounts of memory and storage, posing i...
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01/31/2018
Cataloging the Visible Universe through Bayesian Inference at Petascale
Astronomical catalogs derived from wide-field imaging surveys are an imp...
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05/31/2016
