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07/16/2022
Learning Granularity-Unified Representations for Text-to-Image Person Re-identification
Text-to-image person re-identification (ReID) aims to search for pedestr...
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12/23/2019
Jupiter: A Networked Computing Architecture
In the era of Internet of Things, there is an increasing demand for netw...
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12/07/2019
Privacy-Preserving Inference in Machine Learning Services Using Trusted Execution Environments
This work presents Origami, which provides privacy-preserving inference ...
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10/22/2019
Train Where the Data is: A Case for Bandwidth Efficient Coded Training
Training a machine learning model is both compute and data-intensive. Mo...
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06/05/2019
Collage Inference: Achieving low tail latency during distributed image classification using coded redundancy models
Reducing the latency variance in machine learning inference is a key req...
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04/27/2019
Collage Inference: Tolerating Stragglers in Distributed Neural Network Inference using Coding
MLaaS (ML-as-a-Service) offerings by cloud computing platforms are becom...
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04/15/2019
Distributed Matrix Multiplication Using Speed Adaptive Coding
While performing distributed computations in today's cloud-based platfor...
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11/08/2018