Towards Source Selection in Transfer Learning for Cloud Performance Prediction. - Hannes Larsson; Jalil Taghia; Farnaz Moradi; Andreas Johnsson (IM, 2021)

Source Selection in Transfer Learning for Improved Service Performance Predictions. - Hannes Larsson; Jalil Taghia; Farnaz Moradi; Andreas Johnsson (Networking, 2021)

Automated Collaborator Selection for Federated Learning with Multi-armed Bandit Agents. - Hannes Larsson; Hassam Riaz; Selim Ickin (FlexNets@SIGCOMM, 2021)

Policy-Induced Unsupervised Feature Selection: A Networking Case Study. - Jalil Taghia; Farnaz Moradi; Hannes Larsson; Xiaoyu Lan; Masoumeh Ebrahimi; Andreas Johnsson (INFOCOM, 2022)

Demonstration of Policy-Induced Unsupervised Feature Selection in a 5G network. - Jalil Taghia; Farnaz Moradi; Hannes Larsson; Xiaoyu Lan; Masoumeh Ebrahimi; Andreas Johnsson (INFOCOM Workshops, 2022)

Domain Adaptation for Network Performance Modeling with and without Labeled Data. - Hannes Larsson; Farnaz Moradi; Jalil Taghia; Xiaoyu Lan; Andreas Johnsson (NOMS, 2023)

Comparing Transfer Learning and Rollout for Policy Adaptation in a Changing Network Environment. - Forough Shahab Samani; Hannes Larsson; Simon Damberg; Andreas Johnsson; Rolf Stadler (NOMS, 2024)

Meta Learning for Improved Policy Transfer in Changing Network Environments. - Simon Damberg; Hannes Larsson; Andreas Johnsson (NetSoft, 2025)