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AdaInf: Data Drift Adaptive Scheduling for Accurate and SLO-guaranteed Multiple-Model Inference Serving at Edge Servers
Mar 21, 2024
PDF Slides
Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations
Mar 14, 2024
PDF Slides
dTEE: A Declarative Approach to Secure IoT Applications Using TrustZone
Communication-Aware DNN Pruning
Nov 21, 2023
TapFinger: Task Placement and Fine-Grained Resource Allocation for Edge Machine Learning
Nov 14, 2023
ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning
Nov 7, 2023
Decentralized Application-Level Adaptive Scheduling for Multi-Instance DNNs on Open Mobile Devices
Oct 31, 2023
On Modular Learning of Distributed Systems for Predicting End-to-End Latency
Oct 17, 2023
Help Rather Than Recycle: Alleviating Cold Startup in Serverless Computing Through Inter-Function Container Sharing
Oct 10, 2023
Re-thinking computation offload for efficient inference on IoT devices with duty-cycled radios
Sep 26, 2023