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06/07/2022
Machine Learning Sensors
Machine learning sensors represent a paradigm shift for the future of em...
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12/02/2021
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving
Autonomous vehicles (AVs) must interact with a diverse set of human driv...
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11/08/2021
ML-EXray: Visibility into ML Deployment on the Edge
Benefiting from expanding cloud infrastructure, deep neural networks (DN...
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09/29/2021
Data Sharing and Compression for Cooperative Networked Control
Sharing forecasts of network timeseries data, such as cellular or electr...
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12/12/2020
Sampling Training Data for Continual Learning Between Robots and the Cloud
Today's robotic fleets are increasingly measuring high-volume video and ...
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11/06/2020
Task-relevant Representation Learning for Networked Robotic Perception
Today, even the most compute-and-power constrained robots can measure co...
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10/18/2020
Characterizing and Taming Model Instability Across Edge Devices
The same machine learning model running on different edge devices may pr...
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04/03/2020
Multi-agent Reinforcement Learning for Networked System Control
This paper considers multi-agent reinforcement learning (MARL) in networ...
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02/15/2019
Network Offloading Policies for Cloud Robotics: a Learning-based Approach
Today's robotic systems are increasingly turning to computationally expe...
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01/13/2019
Light-Field for RF
Most computer vision systems and computational photography systems are v...
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12/22/2018
Trevor: Automatic configuration and scaling of stream processing pipelines
Operating a distributed data stream processing workload efficiently at s...
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11/14/2018
Bandana: Using Non-volatile Memory for Storing Deep Learning Models
Typical large-scale recommender systems use deep learning models that ar...
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03/09/2017
Position Tracking for Virtual Reality Using Commodity WiFi
Today, experiencing virtual reality (VR) is a cumbersome experience whic...
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02/08/2017
