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06/22/2023
Slimmable Encoders for Flexible Split DNNs in Bandwidth and Resource Constrained IoT Systems
The execution of large deep neural networks (DNN) at mobile edge devices...
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04/28/2023
Active Reinforcement Learning for Personalized Stress Monitoring in Everyday Settings
Most existing sensor-based monitoring frameworks presume that a large av...
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12/02/2022
Matching DNN Compression and Cooperative Training with Resources and Data Availability
To make machine learning (ML) sustainable and apt to run on the diverse ...
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06/01/2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing
To process and transfer large amounts of data in emerging wireless servi...
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03/16/2022
SC2: Supervised Compression for Split Computing
Split computing distributes the execution of a neural network (e.g., for...
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11/15/2021
Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using Urban Air Mobility (UAM) Networks
Autonomous surveillance unmanned aerial vehicles (UAVs) are deployed to ...
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08/21/2021
Supervised Compression for Resource-constrained Edge Computing Systems
There has been much interest in deploying deep learning algorithms on lo...
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08/02/2021
Data Collection and Labeling of Real-Time IoT-Enabled Bio-Signals in Everyday Settings for Mental Health Improvement
Real-time physiological data collection and analysis play a central role...
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07/31/2021
Personalized Stress Monitoring using Wearable Sensors in Everyday Settings
Since stress contributes to a broad range of mental and physical health ...
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07/30/2021
A Deep Learning Approach to Predict Blood Pressure from PPG Signals
Blood Pressure (BP) is one of the four primary vital signs indicating th...
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09/15/2020
Frequency-based Multi Task learning With Attention Mechanism for Fault Detection In Power Systems
The prompt and accurate detection of faults and abnormalities in electri...
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07/31/2020
Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks
The edge computing paradigm places compute-capable devices - edge server...
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07/27/2020
Split Computing for Complex Object Detectors: Challenges and Preliminary Results
Following the trends of mobile and edge computing for DNN models, an int...
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04/02/2020
Data-Driven Path Selection for Real-Time Video Streaming at the Network Edge
In this paper, we present a framework for the dynamic selection of the w...
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01/09/2020
Auction-based Charging Scheduling with Deep Learning Framework for Multi-Drone Networks
State-of-the-art drone technologies have severe flight time limitations ...
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07/27/2019
Optimizing Energy Efficiency of Wearable Sensors Using Fog-assisted Control
Recent advances in the Internet of Things (IoT) technologies have enable...
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07/24/2019
On the Feasibility of Infrastructure Assistance to Autonomous UAV Systems
Infrastructure assistance has been proposed as a viable solution to impr...
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08/15/2018
FlyNetSim: An Open Source Synchronized UAV Network Simulator based on ns-3 and Ardupilot
Unmanned Aerial Vehicle (UAV) systems are being increasingly used in a b...
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05/08/2018
eBPF-based Content and Computation-aware Communication for Real-time Edge Computing
By placing computation resources within a one-hop wireless topology, the...
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05/01/2018