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2020 – today
- 2024
[c7]Forough Shahab Samani, Hannes Larsson, Simon Damberg, Andreas Johnsson, Rolf Stadler:
Comparing Transfer Learning and Rollout for Policy Adaptation in a Changing Network Environment. NOMS 2024: 1-7- 2023
- [c6]Hannes Larsson, Farnaz Moradi, Jalil Taghia, Xiaoyu Lan, Andreas Johnsson:
Domain Adaptation for Network Performance Modeling with and without Labeled Data. NOMS 2023: 1-9 - 2022
- [c5]Jalil Taghia, Farnaz Moradi, Hannes Larsson, Xiaoyu Lan, Masoumeh Ebrahimi, Andreas Johnsson:
Demonstration of Policy-Induced Unsupervised Feature Selection in a 5G network. INFOCOM Workshops 2022: 1-2 - [c4]Jalil Taghia, Farnaz Moradi, Hannes Larsson, Xiaoyu Lan, Masoumeh Ebrahimi, Andreas Johnsson:
Policy-Induced Unsupervised Feature Selection: A Networking Case Study. INFOCOM 2022: 750-759 - 2021
- [c3]Hannes Larsson, Jalil Taghia, Farnaz Moradi, Andreas Johnsson:
Towards Source Selection in Transfer Learning for Cloud Performance Prediction. IM 2021: 599-603 - [c2]Hannes Larsson, Jalil Taghia, Farnaz Moradi, Andreas Johnsson:
Source Selection in Transfer Learning for Improved Service Performance Predictions. Networking 2021: 1-9 - [c1]Hannes Larsson, Hassam Riaz, Selim Ickin
:
Automated Collaborator Selection for Federated Learning with Multi-armed Bandit Agents. FlexNets@SIGCOMM 2021: 44-49
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