Mikael Skoglund

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 343

Top Venues

CoRR

ISIT

ITW

IEEE Trans. Inf. Theory

Chalmers University of Technology, Gothenburg, Sweden (PHD)

Education History

Chalmers University of Technology, Gothenburg, Sweden

PHD

Publications

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. 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)
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)
Alireza M. Javid, Sandipan Das, Mikael Skoglund, Saikat Chatterjee
A ReLU Dense Layer to Improve the Performance of Neural Networks. ICASSP (2021)
Baptiste Cavarec, Photios A. Stavrou, Mats Bengtsson, Mikael Skoglund
Designing Privacy Filters for Hidden Markov Processes. ECC (2021)
Sina Molavipour, Hamid Ghourchian, Germán Bassi, Mikael Skoglund
Neural Estimator of Information for Time-Series Data with Dependency. Entropy 23 (6) (2021)
Photios A. Stavrou, Serkan Saritas, Mikael Skoglund
Privacy signalling games with binary alphabets. CoRR (2021)
Xinyue Liang, Mikael Skoglund, Saikat Chatterjee
Feature Reuse for a Randomization Based Neural Network. ICASSP (2021)
Shuchan Wang, Photios A. Stavrou, Mikael Skoglund
Generalized Talagrand Inequality for Sinkhorn Distance using Entropy Power Inequality. ITW (2021)
Baptiste Cavarec, Hasan Basri Çelebi, Mats Bengtsson, Mikael Skoglund
A Learning-Based Approach to Address Complexity-Reliability Tradeoff in OS Decoders. CoRR (2021)
Hamid Ghourchian, Photios A. Stavrou, Tobias J. Oechtering, Mikael Skoglund
Secure Block Source Coding with Sequential Encoding. CoRR (2021)
Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
(ϵ, n) Fixed-Length Strong Coordination Capacity. ITW (2021)
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
Optimal Maximal Leakage-Distortion Tradeoff. CoRR (2021)
Serkan Saritas, Photios A. Stavrou, Ragnar Thobaben, Mikael Skoglund
Quadratic Signaling Games with Channel Combining Ratio. ISIT (2021)
Photios A. Stavrou, Mikael Skoglund
New Formulation of NRDF to Compute Partially Observed Gaussian Processes with MSE Distortion. ISIT (2021)
Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund
Quantifying Membership Privacy via Information Leakage. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Michail Mylonakis, Photios A. Stavrou, Mikael Skoglund
Adaptive Interference Coordination over Channels with Unknown State at the Encoder and the Decoder. CoRR (2021)
Borja Rodríguez Gálvez, Germán Bassi, Ragnar Thobaben, Mikael Skoglund
Tighter expected generalization error bounds via Wasserstein distance. CoRR (2021)
Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund
A Variational Approach to Privacy and Fairness. ITW (2021)
Hasan Basri Çelebi, Antonios Pitarokoilis, Mikael Skoglund
A Multi-Objective Optimization Framework for URLLC with Decoding Complexity Constraints. CoRR (2021)
Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund
Data Disclosure with Non-zero Leakage and Non-invertible Leakage Matrix. CoRR (2021)
Jose Mairton B. da Silva Jr., Hadi G. Ghauch, Gábor Fodor, Mikael Skoglund, Carlo Fischione
Smart Antenna Assignment is Essential in Full-Duplex Communications. IEEE Trans. Commun. 69 (5) (2021)
Yu Ye, Ming Xiao, Mikael Skoglund
Randomized Neural Networks Based Decentralized Multi-Task Learning via Hybrid Multi-Block ADMM. IEEE Trans. Signal Process. 69 (2021)
Wanlu Lei, Yu Ye, Ming Xiao, Mikael Skoglund, Zhu Han
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mikael Skoglund