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
Contact Us

We're not around right now. But you can send us an email and we'll get back to you, asap.

Start typing and press Enter to search