420 citations · 1.3k across the 62 of their papers we have counts for
4 papers · 1 filter
AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions
Sundas Iftikhar, Sukhpal Singh Gill, Chenghao Song +15
Resource management in computing is a very challenging problem that involves making sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse nature o…
ROMA: Run-Time Object Detection To Maximize Real-Time Accuracy
JunKyu Lee, Blesson Varghese, Hans Vandierendonck
This paper analyzes the effects of dynamically varying video contents and detection latency on the real-time detection accuracy of a detector and proposes a new run-time accuracy v…
FedComm: Understanding Communication Protocols for Edge-based Federated Learning
Gary Cleland, Di Wu, Rehmat Ullah +1
Federated learning (FL) trains machine learning (ML) models on devices using locally generated data and exchanges models without transferring raw data to a distant server. This exc…
CONTINUER: Maintaining Distributed DNN Services During Edge Failures
Ayesha Abdul Majeed, Peter Kilpatrick, Ivor Spence +1
Partitioning and deploying Deep Neural Networks (DNNs) across edge nodes may be used to meet performance objectives of applications. However, the failure of a single node may resul…