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12/12/2022
Federated NLP in Few-shot Scenarios
Natural language processing (NLP) sees rich mobile applications. To supp...
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12/01/2022
AUG-FedPrompt: Practical Few-shot Federated NLP with Data-augmented Prompts
Transformer-based pre-trained models have become the de-facto solution f...
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07/28/2022
Efficient Model Finetuning for Text Classification via Data Filtering
As model finetuning is central to the modern NLP, we set to maximize its...
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07/11/2022
Efficient NLP Inference at the Edge via Elastic Pipelining
Natural Language Processing (NLP) inference is seeing increasing adoptio...
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05/22/2022
Protecting File Activities via Deception for ARM TrustZone
A TrustZone TEE often invokes an external filesystem. While filedata can...
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05/20/2022
AutoFedNLP: An efficient FedNLP framework
Transformer-based pre-trained models have revolutionized NLP for superio...
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11/04/2021
Safe and Practical GPU Acceleration in TrustZone
We present a holistic design for GPU-accelerated computation in TrustZon...
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10/15/2021
Minimum Viable Device Drivers for ARM TrustZone
While TrustZone can isolate IO hardware, it lacks drivers for modern IO ...
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05/04/2021
TinyStack: A Minimal GPU Stack for Client ML
TinyStack is a novel way for deploying GPU-accelerated computation on mo...
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01/14/2021
Enabling Large Neural Networks on Tiny Microcontrollers with Swapping
Running neural networks (NNs) on microcontroller units (MCUs) is becomin...
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12/17/2020
Clique: Spatiotemporal Object Re-identification at the City Scale
Object re-identification (ReID) is a key application of city-scale camer...
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12/25/2019
Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures
A set of about 80 researchers, practitioners, and federal agency program...
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09/02/2019
Approximate Query Processing on Autonomous Cameras
Surveillance IoT cameras are becoming autonomous: they operate on batter...
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04/28/2019
Supporting Video Queries on Zero-Streaming Cameras
As low-cost surveillance cameras grow rapidly, we advocate for these cam...
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02/17/2019
Let the Cloud Watch Over Your IoT File Systems
Smart devices produce security-sensitive data and keep them in on-device...
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01/04/2019
StreamBox-HBM: Stream Analytics on High Bandwidth Hybrid Memory
Stream analytics have an insatiable demand for memory and performance. E...
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11/12/2018
Transkernel: Bridging Monolithic Kernels to Peripheral Cores
Smart devices see a large number of ephemeral tasks driven by background...
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11/12/2018
Transkernel: An Executor for Commodity Kernels on Peripheral Cores
Modern mobile and embedded platforms see a large number of ephemeral tas...
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11/08/2018
A First Look at Deep Learning Apps on Smartphones
We are in the dawn of deep learning explosion for smartphones. To bridge...
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11/08/2018
When Mobile Apps Going Deep: An Empirical Study of Mobile Deep Learning
Deep learning (DL) is a game-changing technique in mobile scenarios, as ...
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10/03/2018
VStore: A Data Store for Analytics on Large Videos
We present VStore, a data store for supporting fast, resource-efficient ...
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10/03/2018
Reinventing Data Stores for Video Analytics
We present a data store managing large videos for retrospective analytic...
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08/02/2018
StreamBox-TZ: Secure Stream Analytics at the Edge with TrustZone
While it is compelling to process large streams of IoT data on the cloud...
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08/02/2018
StreamBox-TZ: A Secure IoT Analytics Engine at the Edge
We present StreamBox-TZ, a stream analytics engine for an edge platform....
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12/01/2017
Accelerating Convolutional Neural Networks for Continuous Mobile Vision via Cache Reuse
Convolutional Neural Network (CNN) is the state-of-the-art algorithm of ...
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03/11/2011
