Papers & Supplementary Material

Full publication list also available on DiVA.

Privacy-Preserving Machine Learning and Health Data

• “Exponential-Family Membership Inference: From LiRA and RMIA to BaVarIA.” R. Brännvall. arXiv preprint, 2026.
  arXiv
• “Client-Conditional Federated Learning via Local Training Data Statistics.” R. Brännvall. FLICS 2026 (IEEE), Valencia.
  arXiv (extended)
• “Dela resultat, inte personuppgifter: Decentraliserad säker behandlingsmiljö.” A. Avatare Nöu, R. Brännvall, H. Svensson. RISE Rapport 2025:104, 2025.
  DiVA
• “Inhibitor Transformers and Gated RNNs for Torus Efficient Fully Homomorphic Encryption.” R. Brännvall, H. Forsgren, F. Sandin, M. Liwicki, A. Stoian, T. Zhang. arXiv preprint, 2025.
  arXiv
• “InhibiDistilbert: Knowledge Distillation for a ReLU and Addition-based Transformer.” T. Zhang, R. Brännvall. ICLR Workshop SLLM, 2025.
  arXiv OpenReview Poster
• “Conditioning on Local Statistics for Scalable Heterogeneous Federated Learning.” R. Brännvall. ICLR Workshop MCDC, 2025.
  arXiv OpenReview Poster
• “A Sandbox Study Proposal for Private and Distributed Health Data Analysis.” R. Brännvall, H. Svensson, K. Kaliyaperumal, H. Burden, S. Stenberg. arXiv preprint, 2025.
  arXiv Poster
• “Forgotten-by-Design: Targeted Obfuscation for Machine Learning.” R. Brännvall, L. Adomaitis, O. Görnerup, A. Sedrati. arXiv preprint, 2025.
  arXiv Poster
• “The Inhibitor: ReLU and Addition-Based Attention under FHE on the Torus.” R. Brännvall, A. Stoian. 3rd FHE.org Conference, 2024.
  arXiv Poster
• “The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers.” R. Brännvall. AAAI 2024 (Student Abstract).
• “An Efficient and Accurate Gated RNN for Execution under TFHE.” R. Brännvall, A. Stoian. PPAI-24 at AAAI 2024.
• “Can the Use of PETs Enable FL for Health Data in a Swedish Regulatory Context?” R. Brännvall, H. Linge, J. Östman. SAIS 2023.
• “HE Enables Data and Algorithm Confidentiality for Remote Monitoring and Control.” H. Forsgren, R. Brännvall, M. Vesterlund, T.-B. Minde. e-Energy ’23 Companion, 2023.
• “Secure Sharing of Health-related Data (VINTER, DELFIN, HEIDA).” H. M. Linge, R. Brännvall. Stud. Health Technol. Inform., Vol. 302, 2023.
• “HEIDA: Software Examples for HE Privacy Preservation of Health Data.” R. Brännvall, H. Forsgren, H. Linge. Stud. Health Technol. Inform., Vol. 302, 2023.
  Poster
• “ReLU and Addition-based Gated RNN.” R. Brännvall. arXiv preprint, 2023.
  arXiv
• “Homomorphic Encryption Enables Private Data Sharing for Digital Health.” R. Brännvall, H. Forsgren, H. Linge, M. Santini, A. Salehi, F. Rahimian. SAIS 2022.
  DOI
• “Cross-Entropy Optimization and Control under Homomorphic Encryption.” R. Brännvall, J. Kristiansson, F. Sandin. SAIS 2021.

Edge Data Centers and Other Topics

• “Hur kan vi, med hjälp av interoperabilitet, skapa bättre hälsa?” U. Hellstrand Tang, L. Sundberg, R. Brännvall, T. Magnusson. Vitalis 2023.
• “Proactive Scheduling of Mixed Energy Resources at Different Grid Levels.” N. Efkarpidis, S. Imoscopi, A. Bratukhin, R. Brännvall et al. IEEE Trans. Sustain. Energy, Vol. 15, 2023.
• “ANIARA: Micro Edge Data Centers with Battery Support on Power-Constrained Grids.” S. Fredriksson, L. Eleftheriadis, R. Brännvall, N. Bäckman, J. Gustafsson. e-Energy ’23 Companion, 2023.
• “Cost Optimization for the Edge-Cloud Continuum by Energy-Aware Workload Placement.” R. Brännvall, T. Stark, J. Gustafsson, M. Eriksson, J. Summers. e-Energy ’23 Companion, 2023.
• “Modular and Transferable Machine Learning for Heat Management and Reuse in Edge Data Centers.” R. Brännvall, J. Gustafsson, F. Sandin. Energies, Vol. 16, No. 5, 2023.
• “Adaptive Control of Data Center Cooling using Deep Reinforcement Learning.” A. Heimerson, J. Sjölund, R. Brännvall, J. Gustafsson, J. Eker. IEEE ACSOS-C 2022.
• “Småprat: DialoGPT for Natural Language Generation of Swedish Dialogue.” T. Adewumi, R. Brännvall, N. Abid et al. NLDL 2022.
• “Defining Beneficiaries of Emerging Data Infrastructures.” A. Rizk, C. Seidelin, G. Kovács, M. Liwicki, R. Brännvall. ICIST 2021, Springer.
• “Towards a Holistic Controller: Reinforcement Learning for Data Center Control.” A. Heimerson, R. Brännvall, J. Sjölund, J. Eker, J. Gustafsson. e-Energy 2021.
• “Cross-Encoded Meta Embedding towards Transfer Learning.” R. Brännvall, J. Öhman, G. Kovács. ESANN 2020.
• “Vegetation and Drought Trends in Sweden’s Mälardalen Region.” N. Agües Paszkowsky, R. Brännvall, J. Carlstedt, M. Milz, G. Kovács, M. Liwicki. SweDS 2020.
• “Physical and Data Driven Models for Edge Data Center Cooling System.” M. Siltala, R. Brännvall, J. Gustafsson, Q. Zhou. SweDS 2020.
• “EDGE: Microgrid Data Center with Mixed Energy Storage.” R. Brännvall, M. Siltala, J. Sarkinen, J. Gustafsson, M. Vesterlund, J. Summers. E2DC at e-Energy 2020.
• “Data Center Excess Heat Recovery: A Case Study of Apple Drying.” R. Brännvall, L. Mattsson, E. Lundmark, M. Vesterlund. ECOS 2020.
• “Experimental Analysis of Server Fan Control Strategies for Improved Data Center Air-based Thermal Management.” J. Sarkinen, R. Brännvall, J. Gustafsson, J. Summers. ITherm 2020.
• “National Space Data Lab on Kubernetes.” R. Brännvall, G. Kovács, A. Rizk, V. Lehtonen, A.-C. Eriksson, T. Edman. SweDS 2019.
• “Digital Twin for Tuning of Server Fan Controllers.” R. Brännvall, J. Sarkinen, J. Svartholm, J. Gustafsson, J. Summers. IEEE INDIN 2019.