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)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,438 | The NebulaStream Platform: Data and Application Management for the Internet of Things | 2020 | CIDR | 5.5041764e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 317 | NoScope: Optimizing Neural Network Queries over Video at Scale | 2017 | VLDB | 0.0002798145 |
| 4,053 | WANalytics: Geo-Distributed Analytics for a Data Intensive World | 2015 | SIGMOD | 6.4916925e-05 |
Previous
Page 1 / 1
Next