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BoFL: Bayesian Optimized Local Training Pace Control for Energy Efficient Federated Learning
Federated learning (FL) is a machine learning paradigm that enables a cluster of decentralized edge devices to collaboratively train a …
Hongpeng Guo, Haotian Gu, Zhe Yang, Xiaoyang Wang, Eun Kyung Lee, Nandhini Chandramoorthy, Tamar Eilam, Deming Chen, Klara Nahrstedt
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Multi-View Scheduling of Onboard Live Video Analytics to Minimize Frame Processing Latency
This paper presents a real-time multi-view scheduling framework for DNN-based live video analytics at the edge to minimize frame …
Shengzhong Liu, Tianshi Wang, Hongpeng Guo, Xinzhe Fu, Philip David, Maggie Wigness, Archan Misra, Tarek Abdelzaher
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CrossRoI: Cross-camera Region of Interest Optimization for Efficient Real Time Video Analytics at Scale
Video cameras are pervasively deployed in city scale for public good or community safety (i.e. traffic monitoring or suspected person …
Hongpeng Guo, Shuochao Yao, Zhe Yang, Qian Zhou, Klara Nahrstedt
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DeepRT: A Soft Real Time Scheduler for Computer Vision Applications on the Edge
The ubiquity of smartphone cameras and IoT cameras, together with the recent boom of deep learning and deep neural networks, …
Zhe Yang, Klara Nahrstedt, Hongpeng Guo, Qian Zhou
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Secure Broadcast Protocol for Unmanned Aerial Vehicle Swarms
The technology advancement has made Unmanned Aerial Vehicle (UAV) swarm a promising method to achieve complicated missions that a …
Hongpeng Guo, Tianyuan Liu, King-Shan Lui, Claudiu Danilov, Klara Nahrstedt
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Dynamic Task Pricing in Multi-Requester Mobile Crowd Sensing with Markov Correlated Equilibrium
The recent proliferation of human-carried mobile devices has given rise to mobile crowd sensing (MCS) systems, where a myriad of data …
Haiming Jin, Hongpeng Guo, Lu Su, Klara Nahrstedt, Xinbing Wang
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