Mikael Skoglund, Professor
| Dr. Skoglund received the Ph.D. degree in 1997 from Chalmers University of Technology,
Göteborg, Sweden. He was appointed Docent in Signal Processing
in February 2001 and Professor of Communication Theory in October
2003, both at KTH.
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During 2003-09 he was an associate editor for IEEE Trans. on Communications and in the period 2009-12 he was on the editorial board for IEEE Trans. on Information Theory. From 2021 he is once again an editor for IEEE Trans. on Information Theory. Skoglund was general co-chair for IEEE ITW 2019 (Visby, Gotland) and served as TPC co-chair for IEEE ISIT 2022 (Helsinki). Starting January 1st, 2023, he is an elected member of the IEEE Information Theory Society Board of Governors. Skoglund is a Fellow of the IEEE. |
| Address: Information Science and Engineering School of Electrical Engineering and Computer Science KTH Royal Institute of Technology 100 44 Stockholm, Sweden |
Office: KTH Main Campus Malvinas väg 10, Room A:415 |
| Email: skoglund@kth.se | Phone: +46 8 790 8430 |
| Personal web-page: people.kth.se/~skoglund | |
| KTH profile page: www.kth.se/profile/skoglund |
Recent Publications
- S. Daei, G. Fodor and M. Skoglund, "One target, many views: Multi-user fusion for collaborative uplink ISAC," in Proc. IEEE WiOpt 2025.
- V. Ramachandran, T. Oechtering and M. Skoglund, "Multi-terminal strong coordination over noisy channels with encoder cooperation," in Proc. IEEE ISIT 2025.
- A. Gouverneur, T. Oechtering and M. Skoglund, "Refined PAC-Bayes bounds for offline bandits," in Proc. IEEE ISIT 2025.
- M. Lenninger, A. Kumar, P. Herman and M. Skoglund, "Active NMDARs expand input rate sensitivity into high-conductance states," in Proc. CNS*2025.
- G. Chen, Z. Cheng, T. Oechtering and M. Skoglund, "Novel privacy-preserving Nash equilibrium computation with pointwise maximal leakage guarantees," in Proc. CCC2025.
- A. Zamani, A. Changizi, R. Thobaben and M. Skoglund, "Information-theoretic fairness with a bounded statistical parity constraint," in Proc. IEEE WiOpt 2025.
- S. Rivetti, Ö. T. Demir, E. Björnson and M. Skoglund, "Destructive and constructive RIS beamforming in an ISAC-multi-user MIMO network," in Proc. IEEE ICC 2025.
- M. Shirvanimoghaddam, M. Xiao and M. Skoglund, "Low-complexity ordred statistic decoder for primitive rateless codes," in Proc. IEEE ICC 2025.
- Y. Chen, H. Boche, T. Oechtering and M. Skoglund, "Integrated sensing and communication with distributed rate-limited helpers," in Proc. IEEE ICC 2025.
- H. Basri Celebi and M. Skoglund, "Reinforcement learning based goodput maximization with quantized feedback in URLLC," in Proc. IARIA ICWMC 2025.
- A. Gouverneur, B. Rodríguez Gálvez, T. Oechtering and M. Skoglund, "An information-theoretic analysis of Thompson sampling for logistic bandits," in Proc. NeurIPS 2024 (BDU Workshop ).
- A. Zamani and M. Skoglund, "Improving achievability of cache-aided private variable-length coding with zero leakage," in Proc. IEEE WiOpt 2024.
- B. Rodríguez Gálvez, R. Thobaben and M. Skoglund, "An information-theoretic approach to generalization theory," arXiv:2408.13275 [stat.ML], August 2024.
- C. Li, M. Xiao and M. Skoglund, "A communication-efficient semi-decentralized approach for federated learning with stragglers," in Proc. IEEE ITW 2024.
- V. Ramachandran, T. Oechtering and M. Skoglund, "Multi-terminal strong coordination with degraded source observations," in Proc. IEEE ITW 2024.
- A. Zamani, B. Rodríguez Gálvez and M. Skoglund, "Information theoretic fairness: Compressed representations with perfect demographic parity," in Proc. IEEE ITW 2024.
- S. Weng, C. Li, M. Xiao and M. Skoglund, "Cooperative gradient coding for collaborative federated learning," in Proc. IEEE Globecom 2024.
- S. Ye, S. Zhang, M. Xiao and M. Skoglund, "Integrated communication and computation empowered by fluid antenna array," in Proc. IEEE SPAWC 2024.
- S. Daei, M. Skoglund and G. Fodor, "Improved downlink channel estimation in time-varying FDD massive MIMO systems," in Proc. IEEE SPAWC 2024.
- M. Lindström, B. Rodríguez Gálvez, R. Thobaben and M. Skoglund, "A coding-theoretic analysis of hyperspherical prototypical learning geometry," in Proc. ICML 2024 (GRaM workshop).
- A. Gouverneur, B. Rodríguez Gálvez, T. Oechtering and M. Skoglund, "Chained information-theoretic bounds and tight regret rate for linear bandit problems," in Proc. ICML 2024 (workshop on found. RL and control).
- B. Rodríguez Gálvez, R. Thobaben and M. Skoglund, "More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime-validity," in Proc. NeurIPS, 2024.
- C. Li and M. Skoglund, "Gradient coding in decentralized learning for evading stragglers," in Proc. EUSIPCO 2024.
- A. Zamani, T. Oechtering and M. Skoglund, "Statistical privacy mechanism design using separation technique," in Proc. EUSIPCO 2024.
- S. Daei, G. Fodor and M. Skoglund, "Optimal transmitter design and pilot spacing in MIMO non-stationary aging channels," in Proc. EUSIPCO 2024.
- S. Daei, M. Skoglund and G. Fodor, "Improved downlink channel estimation in time-varying FDD massive MIMO systems," arXiv:2405.07906.
- S. Rivetti, Ö. Tugfe Demir, E. Björnson and M. Skoglund "Destructive and constructive RIS beamforming in an ISAC-multi-user MIMO network," arXiv:2404.11314.
- S. Saedian, T. Oechtering and M. Skoglund, "Evaluating differential privacy on correlated datasets using pointwise maximal leakage," in Proc. Annual Privacy Forum, 2024.
- Z. Lyu, M. Xiao, J. Xu, M. Skoglund and M. Di Renzo, "The larger the merrier? Efficient large AI model inference in wireless edge networks," IEEE Journal of Selected Areas in Communications. Submitted May 2025.
- A. Zamani and M. Skoglund, "Cache-aided variable-length coding with perfect privacy," IEEE Journal of Selected Areas in Communications. Submitted May 2025.
- C. Li, M. Xiao and M. Skoglund, "Biased compression in gradient coding for distributed learning," IEEE Transactions on Signal Processing. Submitted April 2025.
- Q. Wang, G. Zhang, Y. Yang, C. Ren, W. Wu, X. Zhao, M. Skoglund and D. Sun, "An efficient GPU-based halpern accelerating algorithm for DC optimal power flow, " IEEE Transactions on Power Systems. Submitted March 2025.
- A. Gouverneur, B. Rodríguez Gálvez, T. Oechtering and M. Skoglund, "Chained information-theoretic bounds and tight regret rate for linear bandit problems," IEEE Transactions on Information Theory. Submitted March 2025.
- F. Namadchi, M. Shirvanimoghaddam, S. Johnson, M. Xiao and M. Skoglund, "A low-complexity parallel hybrid decoder for primitive rateless codes," IEEE Transactions on Communications. Submitted March 2025.
- Y. Chen, H. Boche, T. Oechtering and M. Skoglund, "Integrated sensing and communication with distributed rate-limited helpers," IEEE Journal of Selected areas in Communications. Submitted February 2025.
- S. Ye et al., "Fluid antenna systems empowered integrated communication and over-the-air computation," IEEE Journal on Selected Areas in Communications. Submitted February 2025.
- C. Li, M. Xiao and M. Skoglund, "Sign-based distributed learning with Byzantine resilience based on audit mechanism," IEEE Transactions on Information Forensics and Security. Submitted December 2024.
- J. Fu, M. Xiao, C. Ren and M. Skoglund, "Computation-resource-efficient task-oriented communications," IEEE Transactions on Communications. Submitted December 2024.
- V. Ramachandran, T. Oechtering and M. Skoglund, "Multi-terminal strong coordination subject to secrecy constraints," IEEE Transactions on Information Theory. Submitted November 2024.
- D. Zhang, M. Xiao, C. Shi, M. Skoglund, Y. Li and H. V. Poor, "Beamforming design for active RIS-aided over-the-air computation," IEEE Transactions on Communications. Submitted November 2024.
- R. Takbiri, S. Daei, F. Haddadi and M. Skoglund, "Distribution-aware l1 analysis minimization," IEEE Transactions on Signal Processing. Submitted October 2024.
- M. M. Omati, S. Daei, A. Amini and M. Skoglund, "Doppler-robust optimization for joint MIMO transmit waveform and filter design in active sensing systems," IEEE Transactions on Signal Processing. Submitted October 2024.
- C. Li, M. Xiao and M. Skoglund, "Coded robust aggregation for distributed learning under Byzantine attacks," IEEE Transactions on Information Forensics & Security. Submitted October 2024.
- Y. Chen, T. Oechtering, H. Boche, M. Skoglund and Y. Luo, "Distribution-preserving integrated sensing and communication," IEEE Transactions on Information Theory. Submitted October 2024.
- C. Ren, Y. Tang, M. Skoglund, Z. Y. Dong, H. Yu, Y. Gao and M. Xiao, "QFEVAL: Quantum federated ensembled variational adaptive learning for dynamic security assessment in cyber-physical systems," IEEE Journal of Selected Areas in Communications. Submitted September 2024.
- C. Li, M. Xiao and M. Skoglund, "Adaptive coded federated learning: Privacy preservation and straggler mitigation," IEEE Transactions on Communications. Submitted September 2024.
- J. He, M. Xiao, M. Skoglund and H. V. Poor, "Straggler-resilient asynchronous ADMM for distributed consensus optimization," IEEE Transactions on Signal Processing. Submitted August 2024.
- S. Ul Zuhra, S. M. Perlaza, H. V. Poor and M. Skoglund, "Simultaneous information and energy transmission with short packets and finite constellations," IEEE Transactions on Communications. Submitted August 2024. Revised January 2025.
- S. Saeidian, L. Grosse, P. Sadeghi, M. Skoglund and T. Oechtering, "Information density bounds for privacy," IEEE Transactions on Information Theory. Submitted July 2024.
- C. Li, M. Xiao and M. Skoglund, "Communication-efficient semi-decentralized federated learning in the presence of stragglers," IEEE Transactions on Communications. Submitted April 2024.
- J. He, M. Xiao and M. Skoglund, "Fast-converging decentralized ADMM for consensus optimization in distributed systems," IEEE Transactions on Parallel and Distributed Systems. Submitted April 2024.
- J. He, M. Xiao and M. Skoglund, "Fast-converging decentralized alternating direction method of multipliers for consensus optimization," EURASIP Journal on Advances in Signal Processing. Accepted for publication.
- S. Daei, S. Razavikia, M. Skoglund, G. Fodor and C. Fischione, "Timely and painless breakups: Off-the-grid blind message recovery and users' demixing," IEEE Transactions on Information Theory. Accepted for publication. (Submitted June 2024.)
- A. Zamani and M. Skoglund, "Variable-length coding with zero and non-zero privacy leakage," MDPI Entropy.
- S. Ul Zuhra, S. M. Perlaza, H. V. Poor and M. Skoglund, "Simultaneous information and energy transmission with short packets and finite constellations," IEEE Transactions on Communications. Accepted for publication.
- Y. Chen, T. Oechtering, M. Skoglund and Y. Luo, "On strong secrecy for multiple access channels with states and causal CSI," IEEE Transactions on Information Theory, vol. 71, no. 4, pp. 3070-3099, April 2025.
- C. Ren et al., "Towards quantum federated learning," IEEE Transactions on Neural Networks and Learning Systems. Accepted for publication.
- S. Daei, G. Fodor, M. Skoglund and M. Telek, "Towards optimal pilot spacing and power control in multi-antenna systems operating over non-stationary Rician aging channels," IEEE Transactions on Communications. Accepted for publication. (Submitted December 2023.)
- S. Saeidian, G. Cervia, T. Oechtering and M. Skoglund, "Rethinking disclosure prevention with pointwise maximal leakage," Journal of Privacy and Confidentiality. Accepted for publication. (Submitted July 2023.)
- C. Ren, Z. Y. Dong, M. Skoglund, Y. Gao, T. Wang and R. Zhang "Enhancing dynamic security assessment in smart grids through quantum federated learning," IEEE Transactions on Automation Science and Engineering. Accepted for publication.
- S. Weng, M. Xiao, C. Ren and M. Skoglund, "Coded cooperative networks for semi-decentralized federated learning," IEEE Wireless Communications Letters, vol. 14, no. 3, pp. 626-630, March 2025.
- Y. Gao, C. Ren, H. Yu, M. Xiao and M. Skoglund, "Fairness-aware multi-server federated learning task delegation over wireless networks," IEEE Transactions on Network Science and Engineering, vol. 12, no. 2, pp. 684-697, March 2025.
- C. Li and M. Skoglund, "Decentralized learning based on gradient coding with compressed communication," IEEE Transactions on Signal Processing, vol. 72, pp. 4713-4729, 2024.
- T. Tanaka, V. Zinage, V. Ugrinovskii and M. Skoglund, "Continuous-time channel gain control for minimum-information Kalman-Bucy filtering," IEEE Transactions on Automatic Control, vol. 69, no. 10, pp. 7255-7262, October 2024.
- P. Stavrou and M. Skoglund, "Indirect NRDF for partially observable Gauss-Markov processes with MSE distortion: Characterizations and optimal solutions," IEEE Transactions on Automatic Control, vol. 69, no. 9, pp. 5867-5882, September 2024.
- C. Li and M. Skoglund, "Distributed learning based on 1-bit gradient coding in the presence of stragglers," IEEE Transactions on Communications, vol. 72, no. 8, pp. 4903-4916, August 2024.
Present Postdocs
Former Postdocs
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Present Ph.D. Students
Former Ph.D. Students as Main Advisor
Former Ph.D. Students as Co-Advisor
Teaching
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