| Smart at what cost?: characterising mobile deep neural networks in the wild | 0 | 0.34 | 2021 |
| FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout. | 0 | 0.34 | 2021 |
| SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud | 7 | 0.46 | 2020 |
| Extended DEMO-Based SLAs to Specify Customers' Expectations. | 1 | 0.36 | 2013 |
| Applying DEMO-based SLAs to cloud services. | 1 | 0.35 | 2013 |
| Using DEMO-based SLAs for Improving City Council Services. | 3 | 0.43 | 2012 |
| Modelling Services with DEMO | 0 | 0.34 | 2012 |
