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. Starting 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
- D. Zhang, M. Xiao and M. Skoglund, "Over-the-air computation empowered federated learning: A joint uplink-downlink design," in Proc. IEEE VTC-Fall 2023.
- M. Lenninger, M. Skoglund, P. Herman and A. Kumar, "Minimal decoding times for various shapes of tuning curves," in Proc. Bernstein Conference 2023.
- V. Ramachandran, T. Oechtering and M. Skoglund, "Multi-terminal strong coordination over noiseless networks with secrecy constraints," in Proc. Allerton 2023.
- S. Razavikia, S. Daei Omshi, M. Skoglund, G. Fodor and C. Fischione, "Off-the-grid blind deconvolution and demixing," in Proc. Globecom 2023.
- B. Rodríguez Gálvez, R. Thobaben and M. Skoglund, "Tighter fast and mixed rate PAC-Bayes bounds," in Proc. ICML 2023 (workshop on PAC-Bayes Meets Interactive Learning).
- B. Rodríguez Gálvez, R. Thobaben and M. Skoglund, "PAC-Bayes bounds' parameter optimization via events' space discretization: new bounds for losses with general tail behaviors," in Proc. ICML 2023 (workshop on PAC-Bayes Meets Interactive Learning).
- A. Zamani, T. Oechtering, D. Gunduz and M. Skoglund, "Cache-aided private variable-length coding with zero and non-zero leakage," in Proc. IEEE WiOpt 2023.
- S. Daei, S. Razavikia, M. Kountouris, M. Skoglund, G. Fodor and C. Fischione, "Blind asynchronous goal-oriented detection for massive connectivity," in Proc. IEEE WiOpt 2023.
- Y. Chen, T. Oechtering, M. Skoglund and Y. Luo, "On strong secrecy for multiple access channel with states and causal CSI," in Proc. IEEE ISIT 2023.
- S. Saeidian, G. Cervia, T. Oechtering and M. Skoglund, "Pointwise maximal leakage on general alphabets," in Proc. IEEE ISIT 2023.
- H. Ghourchian, T. Oechtering and M. Skoglund, "Secure block joint source-channel coding with sequential encoding," in Proc. IEEE ISIT 2023.
- A. Gouverneur, B. Rodríguez Gálvez, T. Oechtering and M. Skoglund, "Thompson sampling regret bounds for contextual bandits with sub-Gaussian rewards," in Proc. IEEE ISIT 2023.
- A. Zamani, T. Oechtering and M. Skoglund, "Multi-user privacy mechanism design with non-zero leakage," in Proc. IEEE ITW 2023.
- M. Haghifam, B. Rodríguez Gálvez, R. Thobaben, M. Skoglund, D. M. Roy, G. K. Dziugaite, "Limitations of information-theoretic generalization bounds for gradient descent methods in stochastic convex optimization," in Proc. ALT 2023.
- V. Ramachandran, T. Oechtering and M. Skoglund, "Distributed strong coordination over a multiple-access channel," IEEE Journal on Selected Areas in Information Theory. Submitted November 2023.
- D. Zhang, M. Xiao, M. Skoglund and H. V. Poor, "Beamforming design for active RIS-aided over-the-air computation," IEEE Transactions on Wireless Communications. Submitted November 2023.
- J. He, M. Xiao and M. Skoglund, "Fast-converging decentralized ADMM for consensus optimization," IEEE Transactions on Signal Processing. Submitted November 2023.
- C. Li and M. Skoglund, "Distributed learning based on 1-bit gradient coding in the presence of stragglers," IEEE Transactions on Communications. Submitted October 2023.
- B. Rodríguez Gálvez, R. Thobaben and M. Skoglund, "More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime-validity," JMLR. Submitted October 2023.
- 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. Submitted October 2023.
- Y. Chen, T. Oechtering, M. Skoglund and Y. Luo, "On general capacity-distortion formulas of integrated sensing and communication," in IEEE Transactions on Information Theory. Submitted October 2023.
- D. Zhang, M. Xiao and M. Skoglund, "Joint uplink-downlink design for AirComp empowered federated learning," IEEE Transactions on Wireless Communications. Submitted July 2023.
- Y. Chen, T. Oechtering, M. Skoglund and Y. Luo, "On strong secrecy for multiple access channels with states and causal CSI," in IEEE Transactions on Information Theory. Submitted June 2023.
- S. Ul Zuhra, S. M. Perlaza, H. V. Poor and M. Skoglund, "On the trade-offs between information and energy transmission in the finite block-length regime with finite channel inputs," IEEE Transactions on Information Theory. Submitted May 2023.
- A. Zamani, T. Oechtering and M. Skoglund, "On the privacy-utility trade-off with and without direct access to the private data," IEEE Transactions on Information Theory. Accepted for publication. (Submitted December 2022.)
- S. Saeidian, G. Cervia, T. Oechtering and M. Skoglund, "Pointwise maximal leakage," IEEE Transactions on Information Theory. Accepted for publication. (Submitted May 2022.) vol. 69, no. 12, pp. 8054-8080, Dec. 2023, doi: 10.1109/TIT.2023.3304378.
- H. Chen, Y. Ye, M. Xiao and M. Skoglund, "Asynchronous parallel incremental block-coordinate descent for decentralized machine learning," IEEE Transactions on Big Data, vol. 9, no. 4, pp. 1252-1259, August 2023.
- M. Lenninger, M. Skoglund, P. Herman and A. Kumar, "Are single-peaked tuning curves tuned for speed rather than accuracy?," eLife, vol. 12, pp. e84531, May 2023.
- E. Nekouei, H. Sandberg, M. Skoglund, K. H. Johansson, "A model randomization approach to statistical parameter privacy," IEEE Transactions on Automatic Control, vol. 68, no. 2, pp. 839-850, February 2023.
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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