PUBLICATIONS
Authors | Title | Venue |
---|---|---|
H. Larsson et al | Source selection in Transfer Learning for Improved Service Performance Predictions | IFIP Networking 2021 |
F. G. Sanz, M. Ebrahimi, A. Johnsson | On Heterogeneous Transfer Learning for Improved Network Service Performance Prediction | IEEE Globecom, 2021 |
N. Onoszko, G. Karlsson, O. Mogren, E. Listo Zec | Decentralized federated learning of deep neural networks on non-iid data | 38th International Conference on Machine Learning, 2021 |
E. Amato, F. Tonini, C. Raffaelli, P. Monti | A Resource Sharing Method for Reliable Slice as a Service Provisioning in 5G Metro Networks | ONDM 2021 |
Wang, Y., Friderikos, V. & Andraos, S. | A Minmax Utilisation Algorithm for Network Traffic Scheduling of Industrial Robots. | IEEE ICC IoTSN 2022 |
H. Larsson et al | Towards Source Selection in Transfer Learning for Cloud Performance Prediction | IFIP/IEEE IM 2021 |
Online feature selection for rapid, low-overhead learning in networked systems | CNSM 2020 | |
C. Natalino and P. Monti | The optical RL-Gym: An open-source toolkit for applying reinforcement learning in in optical networks | International Conference on Transparent Optical Networks ICTON, 2020 |
Combining Engineering Data, Sensor Data and Artificial Intelligence for Automated Edge Network Infrastructures in Simulation | Produktion und Logistik 2021 | |
Exploring Approaches for Heterogeneous TransferLearning in Dynamic Networks | IEEE NOMS 2022 | |
Policy-Induced Unsupervised Feature Selection: ANetworking Case Study | INFOCOM 2022 | |
Samani FS, Stadler R, Flinta C, Johnsson A. | Conditional Density Estimation of Service Metrics for Networked Services | IEEE Transactions on Network and Service Management 2021 |
X. Wang, F. S. Samani, Johnsson A, and R. Stadler | Online Feature Selection for Low-overhead Learning in Networked Systems | 17th International Conference on Network and Service Management (CNSM). IEEE, 2021 |
R. S. Villaca and R. Stadler | Online learning under resources constraints | 17th IFIP/IEEE Symposium on Integrated Network and Service Management (IM 2021), 2021 |
X. Liu, Y, Deng, T. Mahmoodi | Energy Efficient User Scheduling for Hybrid Split and Federated Learning in Wireless UAV Networks | IEEE ICC 2022 |
X. Liu, Y, Deng, T. Mahmoodi | A Novel Hybrid Split and Federated Learning Architecture in Wireless UAV Networks | IEEE ICC 2022 |
Wang, Y., Friderikos, V. & Andraos, S | A Minmax Utilisation Algorithm for Network Traffic Scheduling of Industrial Robots | IEEE ICC 2022 |
Xiaoxuan Wang and Rolf Stadler | Online Feature Selection for Efficient Learning in Networked Systems | IEEE Transactions on Network and Service Management |
Ian Marsh, et al | Evolving 5G: ANIARA, an edge-cloud perspective. | 18th ACM International Conference on Computing Frontiers (CF ’21) |
Ian Marsh, et al | Evolving 5G: ANIARA, an edge-cloud perspective. | SNCNW 2022 |
C. Raffaelli, E. Amato, P. Monti, and F. Tonini | Reliable slicing in optical metro networks with reconfigurable backup resources | CSNDSP 2022 |