Mikael Skoglund

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 325

Top Venues

Chalmers University of Technology, Gothenburg, Sweden (PHD)

Education History

Chalmers University of Technology, Gothenburg, Sweden

PHD

Publications

Sara Saeidian, Leonhard Grosse, Parastoo Sadeghi, Mikael Skoglund, Tobias J. Oechtering
Information Density Bounds for Privacy. CoRR (2024)
Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias J. Oechtering, Mikael Skoglund
Chained Information-Theoretic bounds and Tight Regret Rate for Linear Bandit Problems. CoRR (2024)
Sajad Daei, Saeed Razavikia, Mikael Skoglund, Gábor Fodor, Carlo Fischione
Timely and Painless Breakups: Off-the-grid Blind Message Recovery and Users' Demixing. CoRR (2024)
Steven Rivetti, Ozlem Tugfe Demir, Emil Björnson, Mikael Skoglund
Destructive and constructive RIS beamforming in an ISAC-multi-user MIMO network. CoRR (2024)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
On the Privacy-Utility Trade-Off With and Without Direct Access to the Private Data. IEEE Trans. Inf. Theory 70 (3) (2024)
Chengxi Li, Mikael Skoglund
Gradient Coding in Decentralized Learning for Evading Stragglers. CoRR (2024)
Steven Rivetti, Emil Björnson, Mikael Skoglund
Secure Spatial Signal Design for ISAC in a Cell-Free MIMO Network. WCNC (2024)
Chengxi Li, Mikael Skoglund
Distributed Learning based on 1-Bit Gradient Coding in the Presence of Stragglers. CoRR (2024)
Steven Rivetti, Özlem Tugfe Demir, Emil Björnson, Mikael Skoglund
Malicious Reconfigurable Intelligent Surfaces: How Impactful Can Destructive Beamforming be? IEEE Wirel. Commun. Lett. 13 (7) (2024)
Leonhard Grosse, Sara Saeidian, Parastoo Sadeghi, Tobias J. Oechtering, Mikael Skoglund
Quantifying Privacy via Information Density. CoRR (2024)
Chengxi Li, Ming Xiao, Mikael Skoglund
Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation. CoRR (2024)
Borja Rodríguez Gálvez, Omar Rivasplata, Ragnar Thobaben, Mikael Skoglund
A note on generalization bounds for losses with finite moments. CoRR (2024)
Sara Saeidian, Tobias J. Oechtering, Mikael Skoglund
Evaluating Differential Privacy on Correlated Datasets Using Pointwise Maximal Leakage. APF (2024)
Hamideh Sadat Fazael Ardakani, Sajad Daei, Arash Amini, Mikael Skoglund, Gábor Fodor
Subspace-Informed Matrix Completion. CoRR (2024)
Chengxi Li, Mikael Skoglund
Distributed Learning Based on 1-Bit Gradient Coding in the Presence of Stragglers. IEEE Trans. Commun. 72 (8) (2024)
Shudi Weng, Ming Xiao, Mikael Skoglund
Coded Cooperative Networks for Semi-Decentralized Federated Learning. CoRR (2024)
Sajad Daei, Gábor Fodor, Mikael Skoglund
Optimal Transmitter Design and Pilot Spacing in MIMO Non-Stationary Aging Channels. CoRR (2024)
Jeannie He, Ming Xiao, Mikael Skoglund
Straggler-Resilient Asynchronous Decentralized ADMM for Consensus Optimization. CISS (2024)
Steven Rivetti, Emil Björnson, Mikael Skoglund
Secure Spatial Signal Design for ISAC in a Cell-Free MIMO Network. CoRR (2024)
Martin Lindström, Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund
A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry. CoRR (2024)
Deyou Zhang, Sicong Ye, Ming Xiao, Kezhi Wang, Marco Di Renzo, Mikael Skoglund
Fluid Antenna Array Enhanced Over-the-Air Computation. IEEE Wirel. Commun. Lett. 13 (6) (2024)
Amirreza Zamani, Sajad Daei, Tobias J. Oechtering, Mikael Skoglund
Multi-Task Private Semantic Communication. CoRR (2024)
Yiqi Chen, Tobias J. Oechtering, Holger Boche, Mikael Skoglund, Yuan Luo
Distribution-Preserving Integrated Sensing and Communication with Secure Reconstruction. CoRR (2024)
Deyou Zhang, Ming Xiao, Mikael Skoglund, H. Vincent Poor
Beamforming Design for Active RIS-Aided Over-the-Air Computation. CoRR (2023)
Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund
Private Variable-Length Coding with Sequential Encoder. CoRR (2023)
Sajad Daei, Saeed Razavikia, Marios Kountouris, Mikael Skoglund, Gábor Fodor, Carlo Fischione
Blind Asynchronous Goal-Oriented Detection for Massive Connectivity. WiOpt (2023)
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
Pointwise Maximal Leakage on General Alphabets. ISIT (2023)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
New Privacy Mechanism Design With Direct Access to the Private Data. CoRR (2023)
Saeed Razavikia, Sajad Daei, Mikael Skoglund, Gábor Fodor, Carlo Fischione
Off-the-grid Blind Deconvolution and Demixing. GLOBECOM (2023)
Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime-validity. CoRR (2023)
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
Inferential Privacy: From Impossibility to Database Privacy. CoRR (2023)
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
Pointwise Maximal Leakage. IEEE Trans. Inf. Theory 69 (12) (2023)
Deyou Zhang, Ming Xiao, Mikael Skoglund
Over-the-Air Computation Empowered Federated Learning: A Joint Uplink-Downlink Design. CoRR (2023)
Hamid Ghourchian, Tobias J. Oechtering, Mikael Skoglund
Secure Block Joint Source-Channel Coding with Sequential Encoding. ISIT (2023)
Hamid Ghourchian, Tobias J. Oechtering, Mikael Skoglund
Secure Block Joint Source-Channel Coding with Sequential Encoding. CoRR (2023)
Deyou Zhang, Ming Xiao, Mikael Skoglund
Over-the-Air Computation Empowered Federated Learning: A Joint Uplink-Downlink Design. VTC Fall (2023)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
Private Variable-Length Coding with Non-Zero Leakage. WIFS (2023)
Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias J. Oechtering, Mikael Skoglund
Thompson Sampling Regret Bounds for Contextual Bandits with sub-Gaussian rewards. ISIT (2023)
Mahdi Haghifam, Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund, Daniel M. Roy, Gintare Karolina Dziugaite
Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization. ALT (2023)
Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund
Private Variable-Length Coding with Zero Leakage. CoRR (2023)
Deyou Zhang, Sicong Ye, Ming Xiao, Kezhi Wang, Marco Di Renzo, Mikael Skoglund
Fluid Antenna Array Enhanced Over-the-Air Computation. CoRR (2023)
Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund
Cache-Aided Private Variable-Length Coding with Zero and Non-Zero Leakage. CoRR (2023)
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
Pointwise Maximal Leakage on General Alphabets. CoRR (2023)
Deyou Zhang, Ming Xiao, Mikael Skoglund, H. Vincent Poor
Federated Learning via Active RIS Assisted Over-the-Air Computation. CoRR (2023)
Yiqi Chen, Tobias J. Oechtering, Mikael Skoglund, Yuan Luo
On Strong Secrecy for Multiple Access Channels with States and Causal CSI. CoRR (2023)
Saeed Razavikia, Sajad Daei, Mikael Skoglund, Gábor Fodor, Carlo Fischione
Off-the-grid Blind Deconvolution and Demixing. CoRR (2023)
Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias J. Oechtering, Mikael Skoglund
Thompson Sampling Regret Bounds for Contextual Bandits with sub-Gaussian rewards. CoRR (2023)
Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning. IEEE Trans. Big Data 9 (4) (2023)
Yiqi Chen, Tobias J. Oechtering, Mikael Skoglund, Yuan Luo
On General Capacity-Distortion Formulas of Integrated Sensing and Communication. CoRR (2023)
Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund
Private Variable-Length Coding with Zero Leakage. WIFS (2023)
Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund
Cache-Aided Private Variable-Length Coding with Zero and Non-Zero Leakage. WiOpt (2023)
Yiqi Chen, Tobias J. Oechtering, Mikael Skoglund, Yuan Luo
On Strong Secrecy for Multiple Access Channel with States and Causal CSI. CoRR (2023)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
Private Variable-Length Coding with Non-zero Leakage. CoRR (2023)
Ehsan Nekouei, Henrik Sandberg, Mikael Skoglund, Karl Henrik Johansson
A Model Randomization Approach to Statistical Parameter Privacy. IEEE Trans. Autom. Control. 68 (2) (2023)
Yiqi Chen, Tobias J. Oechtering, Mikael Skoglund, Yuan Luo
On Strong Secrecy for Multiple Access Channel with States and causal CSI. ISIT (2023)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
Multi-User Privacy Mechanism Design with Non-zero Leakage. ITW (2023)
Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee
Decentralized learning of randomization-based neural networks with centralized equivalence. Appl. Soft Comput. 115 (2022)
Photios A. Stavrou, Serkan Santas, Mikael Skoglund
Privacy Signaling Games with Binary Alphabets. ECC (2022)
Hasan Basri Çelebi, Mikael Skoglund
Goodput Maximization with Quantized Feedback in the Finite Blocklength Regime for Quasi-Static Channels. CoRR (2022)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
Multi-User Privacy Mechanism Design with Non-zero Leakage. CoRR (2022)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
Bounds for Privacy-Utility Trade-off with Per-letter Privacy Constraints and Non-zero Leakage. ITW (2022)
Jaya Prakash Champati, Mikael Skoglund, Magnus Jansson, James Gross
Detecting State Transitions of a Markov Source: Sampling Frequency and Age Trade-off. IEEE Trans. Commun. 70 (5) (2022)
Photios A. Stavrou, Mikael Skoglund
Asymptotic Reverse Waterfilling Algorithm of NRDF for Certain Classes of Vector Gauss-Markov Processes. IEEE Trans. Autom. Control. 67 (6) (2022)
Hasan Basri Çelebi, Mikael Skoglund
Goodput Maximization With Quantized Feedback in the Finite Blocklength Regime for Quasi-Static Channels. IEEE Trans. Commun. 70 (8) (2022)
Fatemeh Rezaei, Babak Hossein Khalaj, Ming Xiao, Mikael Skoglund
Performance Analysis of Heterogeneous Cellular Caching Networks With Overlapping Small Cells. IEEE Trans. Veh. Technol. 71 (2) (2022)
Takashi Tanaka, Henrik Sandberg, Mikael Skoglund
Transfer-Entropy-Regularized Markov Decision Processes. IEEE Trans. Autom. Control. 67 (4) (2022)
Photios A. Stavrou, Mikael Skoglund, Takashi Tanaka
Sequential Source Coding for Stochastic Systems Subject to Finite Rate Constraints. IEEE Trans. Autom. Control. 67 (8) (2022)
Mahdi Haghifam, Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund, Daniel M. Roy, Gintare Karolina Dziugaite
Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization. CoRR (2022)
Sadaf ul Zuhra, Samir M. Perlaza, H. Vincent Poor, Eitan Altman, Mikael Skoglund
Information-Energy Regions in the Finite Block-Length Regime with Finite Channel Inputs. CoRR (2022)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
On the Privacy-Utility Trade-off With and Without Direct Access to the Private Data. CoRR (2022)
Wanlu Lei, Chenguang Lu, Yezi Huang, Jing Rao, Ming Xiao, Mikael Skoglund
Adaptive Beam Sweeping With Supervised Learning. IEEE Wirel. Commun. Lett. 11 (12) (2022)
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
Pointwise Maximal Leakage. CoRR (2022)
Hasan Basri Çelebi, Antonios Pitarokoilis, Mikael Skoglund
A Multi-Objective Optimization Framework for URLLC With Decoding Complexity Constraints. IEEE Trans. Wirel. Commun. 21 (4) (2022)
Hao Chen, Shaocheng Huang, Deyou Zhang, Ming Xiao, Mikael Skoglund, H. Vincent Poor
Federated Learning Over Wireless IoT Networks With Optimized Communication and Resources. IEEE Internet Things J. 9 (17) (2022)
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
Pointwise Maximal Leakage. ISIT (2022)
Ehsan Nekouei, Henrik Sandberg, Mikael Skoglund, Karl Henrik Johansson
Optimal Privacy-Aware Estimation. IEEE Trans. Autom. Control. 67 (5) (2022)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
Data Disclosure With Non-Zero Leakage and Non-Invertible Leakage Matrix. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Photios A. Stavrou, Mikael Skoglund
New Formulation and Computation of NRDF for Time-Varying Multivariate Gaussian Processes With Correlated Noise. IEEE Control. Syst. Lett. 6 (2022)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
Bounds for Privacy-Utility Trade-off with Per-letter Privacy Constraints and Non-zero Leakage. CoRR (2022)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
Bounds for Privacy-Utility Trade-off with Non-zero Leakage. ISIT (2022)
Deyou Zhang, Ming Xiao, Mikael Skoglund
Beam Tracking for Dynamic mmWave Channels: A New Training Beam Sequence Design Approach. CoRR (2022)
Wanlu Lei, Yu Ye, Ming Xiao, Mikael Skoglund, Zhu Han
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge IoT. IEEE Internet Things J. 9 (22) (2022)
Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias J. Oechtering, Mikael Skoglund
An Information-Theoretic Analysis of Bayesian Reinforcement Learning. CoRR (2022)
Ming Xiao, Mikael Skoglund
Coding for Large-Scale Distributed Machine Learning. Entropy 24 (9) (2022)
Linghui Zhou, Tobias J. Oechtering, Mikael Skoglund
Fundamental Limits-Achieving Polar Code Designs for Biometric Identification and Authentication. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Deyou Zhang, Ming Xiao, Mikael Skoglund
Beam Tracking for Dynamic mmWave Channels: A New Training Beam Sequence Design Approach. WiOpt (2022)
Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning. CoRR (2022)
Linghui Zhou, Tobias J. Oechtering, Mikael Skoglund
Uncertainty in Biometric Identification and Authentication Systems with Strong Secrecy. Allerton (2022)
Takashi Tanaka, Vrushabh Zinage, Valery A. Ugrinovskii, Mikael Skoglund
Continuous-Time Channel Gain Control for Minimum-Information Kalman-Bucy Filtering. CoRR (2022)
Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias J. Oechtering, Mikael Skoglund
An Information-Theoretic Analysis of Bayesian Reinforcement Learning. Allerton (2022)
Shuchan Wang, Photios A. Stavrou, Mikael Skoglund
Generalizations of Talagrand Inequality for Sinkhorn Distance Using Entropy Power Inequality. Entropy 24 (2) (2022)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
Bounds for Privacy-Utility Trade-off with Non-zero Leakage. CoRR (2022)
Sadaf ul Zuhra, Samir M. Perlaza, H. Vincent Poor, Mikael Skoglund
Information-Energy Trade-offs with EH Non-linearities in the Finite Block-Length Regime with Finite Constellations. ITW (2022)
Minh Thanh Vu, Tobias J. Oechtering, Mikael Skoglund, Holger Boche
Uncertainty in Identification Systems. IEEE Trans. Inf. Theory 67 (3) (2021)
Borja Rodríguez Gálvez, Germán Bassi, Ragnar Thobaben, Mikael Skoglund
Tighter Expected Generalization Error Bounds via Wasserstein Distance. NeurIPS (2021)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
A Design Framework for Strongly χ²-Private Data Disclosure. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Ehsan Nekouei, Henrik Sandberg, Mikael Skoglund, Karl Henrik Johansson
A Model Randomization Approach to Statistical Parameter Privacy. CoRR (2021)
Minh Thanh Vu, Tobias J. Oechtering, Mikael Skoglund
Hypothesis Testing and Identification Systems. IEEE Trans. Inf. Theory 67 (6) (2021)
Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund, H. Vincent Poor
Coded Stochastic ADMM for Decentralized Consensus Optimization With Edge Computing. IEEE Internet Things J. 8 (7) (2021)
Photios A. Stavrou, Mikael Skoglund
LQG control and linear policies for noisy communication links with synchronized side information at the decoder. Autom. 123 (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mikael Skoglund