Collaborative Edge and Cloud Neural Networks for Real-Time Video Processing
Summary: Edge–Cloud collaborative neural networks for real-time video processing to meet low-latency, high-throughput demands across IoT edge and cloud. Demonstration explores combining multiple NN techniques, assessing accuracy, latency, and bandwidth tradeoffs with interactive experimentation. (summarized by gpt-5-nano on Feb 09 2026)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,427 | The NebulaStream Platform: Data and Application Management for the Internet of Things | 2020 | CIDR | 5.509468e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 316 | NoScope: Optimizing Neural Network Queries over Video at Scale | 2017 | VLDB | 0.00027988668 |
| 4,046 | WANalytics: Geo-Distributed Analytics for a Data Intensive World | 2015 | SIGMOD | 6.4979392e-05 |
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