Mikael Skoglund - researchr alias

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Viewing Publication 1 - 100 from 522

2024

Straggler-Resilient Asynchronous Decentralized ADMM for Consensus OptimizationJeannie He, Ming Xiao 0001, Mikael Skoglund. ciss 2024: 1-6 [doi]

On the Privacy-Utility Trade-Off With and Without Direct Access to the Private DataAmirreza Zamani, Tobias J. Oechtering, Mikael Skoglund. TIT, 70(3):2177-2200, 2024. [doi]

2023

Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine LearningHao Chen 0048, Yu Ye, Ming Xiao 0001, Mikael Skoglund. tbd, 9(4):1252-1259, August 2023. [doi]

On Strong Secrecy for Multiple Access Channel with States and causal CSIYiqi Chen, Tobias J. Oechtering, Mikael Skoglund, Yuan Luo 0003. isit 2023: 2744-2749 [doi]

Blind Asynchronous Goal-Oriented Detection for Massive ConnectivitySajad Daei, Saeed Razavikia, Marios Kountouris, Mikael Skoglund, Gábor Fodor, Carlo Fischione. wiopt 2023: 167-174 [doi]

Secure Block Joint Source-Channel Coding with Sequential EncodingHamid Ghourchian, Tobias J. Oechtering, Mikael Skoglund. isit 2023: 2732-2737 [doi]

Thompson Sampling Regret Bounds for Contextual Bandits with sub-Gaussian rewardsAmaury Gouverneur, Borja Rodríguez Gálvez, Tobias J. Oechtering, Mikael Skoglund. isit 2023: 1306-1311 [doi]

Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex OptimizationMahdi Haghifam, Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund, Daniel M. Roy 0001, Gintare Karolina Dziugaite. alt 2023: 663-706 [doi]

A Model Randomization Approach to Statistical Parameter PrivacyEhsan Nekouei, Henrik Sandberg, Mikael Skoglund, Karl Henrik Johansson. tac, 68(2):839-850, February 2023. [doi]

Off-the-grid Blind Deconvolution and DemixingSaeed Razavikia, Sajad Daei, Mikael Skoglund, Gábor Fodor, Carlo Fischione. globecom 2023: 7604-7610 [doi]

Pointwise Maximal Leakage on General AlphabetsSara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund. isit 2023: 388-393 [doi]

Pointwise Maximal LeakageSara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund. TIT, 69(12):8054-8080, December 2023. [doi]

Cache-Aided Private Variable-Length Coding with Zero and Non-Zero LeakageAmirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund. wiopt 2023: 247-254 [doi]

Private Variable-Length Coding with Zero LeakageAmirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund. wifs 2023: 1-6 [doi]

Multi-User Privacy Mechanism Design with Non-zero LeakageAmirreza Zamani, Tobias J. Oechtering, Mikael Skoglund. itw 2023: 401-405 [doi]

Private Variable-Length Coding with Non-Zero LeakageAmirreza Zamani, Tobias J. Oechtering, Mikael Skoglund. wifs 2023: 1-6 [doi]

Over-the-Air Computation Empowered Federated Learning: A Joint Uplink-Downlink DesignDeyou Zhang, Ming Xiao 0001, Mikael Skoglund. vtc 2023: 1-7 [doi]

2022

Coding for Large-Scale Distributed Machine LearningMing Xiao 0001, Mikael Skoglund. entropy, 24(9):1284, 2022. [doi]

Federated Learning Over Wireless IoT Networks With Optimized Communication and ResourcesHao Chen 0048, Shaocheng Huang 0001, Deyou Zhang, Ming Xiao 0001, Mikael Skoglund, H. Vincent Poor. iotj, 9(17):16592-16605, 2022. [doi]

Detecting State Transitions of a Markov Source: Sampling Frequency and Age Trade-offJaya Prakash Champati, Mikael Skoglund, Magnus Jansson, James Gross. tcom, 70(5):3081-3095, 2022. [doi]

An Information-Theoretic Analysis of Bayesian Reinforcement LearningAmaury Gouverneur, Borja Rodríguez Gálvez, Tobias J. Oechtering, Mikael Skoglund. allerton 2022: 1-7 [doi]

Adaptive Beam Sweeping With Supervised LearningWanlu Lei, Chenguang Lu, Yezi Huang, Jing Rao, Ming Xiao 0001, Mikael Skoglund. wcl, 11(12):2650-2654, 2022. [doi]

Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge IoTWanlu Lei, Yu Ye, Ming Xiao 0001, Mikael Skoglund, Zhu Han 0001. iotj, 9(22):22958-22971, 2022. [doi]

Decentralized learning of randomization-based neural networks with centralized equivalenceXinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee. asc, 115:108030, 2022. [doi]

Optimal Privacy-Aware EstimationEhsan Nekouei, Henrik Sandberg, Mikael Skoglund, Karl Henrik Johansson. tac, 67(5):2253-2266, 2022. [doi]

Performance Analysis of Heterogeneous Cellular Caching Networks With Overlapping Small CellsFatemeh Rezaei, Babak Hossein Khalaj, Ming Xiao 0001, Mikael Skoglund. tvt, 71(2):1941-1951, 2022. [doi]

Pointwise Maximal LeakageSara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund. isit 2022: 626-631 [doi]

Privacy Signaling Games with Binary AlphabetsPhotios A. Stavrou, Serkan Santas, Mikael Skoglund. eucc 2022: 1268-1273 [doi]

New Formulation and Computation of NRDF for Time-Varying Multivariate Gaussian Processes With Correlated NoisePhotios A. Stavrou, Mikael Skoglund. csysl, 6:331-336, 2022. [doi]

Asymptotic Reverse Waterfilling Algorithm of NRDF for Certain Classes of Vector Gauss-Markov ProcessesPhotios A. Stavrou, Mikael Skoglund. tac, 67(6):3196-3203, 2022. [doi]

Sequential Source Coding for Stochastic Systems Subject to Finite Rate ConstraintsPhotios A. Stavrou, Mikael Skoglund, Takashi Tanaka. tac, 67(8):3822-3835, 2022. [doi]

Transfer-Entropy-Regularized Markov Decision ProcessesTakashi Tanaka, Henrik Sandberg, Mikael Skoglund. tac, 67(4):1944-1951, 2022. [doi]

Information-Energy Trade-offs with EH Non-linearities in the Finite Block-Length Regime with Finite ConstellationsSadaf ul Zuhra, Samir M. Perlaza, H. Vincent Poor, Mikael Skoglund. itw 2022: 55-60 [doi]

Generalizations of Talagrand Inequality for Sinkhorn Distance Using Entropy Power InequalityShuchan Wang, Photios A. Stavrou, Mikael Skoglund. entropy, 24(2):306, 2022. [doi]

Bounds for Privacy-Utility Trade-off with Per-letter Privacy Constraints and Non-zero LeakageAmirreza Zamani, Tobias J. Oechtering, Mikael Skoglund. itw 2022: 13-18 [doi]

Bounds for Privacy-Utility Trade-off with Non-zero LeakageAmirreza Zamani, Tobias J. Oechtering, Mikael Skoglund. isit 2022: 620-625 [doi]

Data Disclosure With Non-Zero Leakage and Non-Invertible Leakage MatrixAmirreza Zamani, Tobias J. Oechtering, Mikael Skoglund. tifs, 17:165-179, 2022. [doi]

Beam Tracking for Dynamic mmWave Channels: A New Training Beam Sequence Design ApproachDeyou Zhang, Ming Xiao 0001, Mikael Skoglund. wiopt 2022: 276-282 [doi]

Uncertainty in Biometric Identification and Authentication Systems with Strong SecrecyLinghui Zhou, Tobias J. Oechtering, Mikael Skoglund. allerton 2022: 1-6 [doi]

Fundamental Limits-Achieving Polar Code Designs for Biometric Identification and AuthenticationLinghui Zhou, Tobias J. Oechtering, Mikael Skoglund. tifs, 17:180-195, 2022. [doi]

Goodput Maximization With Quantized Feedback in the Finite Blocklength Regime for Quasi-Static ChannelsHasan Basri Çelebi, Mikael Skoglund. tcom, 70(8):5071-5084, 2022. [doi]

A Multi-Objective Optimization Framework for URLLC With Decoding Complexity ConstraintsHasan Basri Çelebi, Antonios Pitarokoilis, Mikael Skoglund. TWC, 21(4):2786-2798, 2022. [doi]

2021

Decentralized Beamforming Design for Intelligent Reflecting Surface-Enhanced Cell-Free NetworksShaocheng Huang 0001, Yu Ye, Ming Xiao, H. Vincent Poor, Mikael Skoglund. wcl, 10(3):673-677, 2021. [doi]

Coded Stochastic ADMM for Decentralized Consensus Optimization With Edge ComputingHao Chen 0048, Yu Ye, Ming Xiao, Mikael Skoglund, H. Vincent Poor. iotj, 8(7):5360-5373, 2021. [doi]

Designing Privacy Filters for Hidden Markov ProcessesBaptiste Cavarec, Photios A. Stavrou, Mats Bengtsson, Mikael Skoglund. eucc 2021: 1373-1378 [doi]

(ϵ, n) Fixed-Length Strong Coordination CapacityGiulia Cervia, Tobias J. Oechtering, Mikael Skoglund. itw 2021: 1-6 [doi]

Smart Antenna Assignment is Essential in Full-Duplex CommunicationsJose Mairton B. da Silva Jr., Hadi G. Ghauch, Gábor Fodor, Mikael Skoglund, Carlo Fischione. tcom, 69(5):3450-3466, 2021. [doi]

Secure Source Coding with Side-information at Decoder and Shared Key at Encoder and DecoderHamid Ghourchian, Photios A. Stavrou, Tobias J. Oechtering, Mikael Skoglund. itw 2021: 1-6 [doi]

Secure Block Source Coding With Sequential EncodingHamid Ghourchian, Photios A. Stavrou, Tobias J. Oechtering, Mikael Skoglund. jsait, 2(1):32-48, 2021. [doi]

A Variational Approach to Privacy and FairnessBorja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund. itw 2021: 1-6 [doi]

Tighter Expected Generalization Error Bounds via Wasserstein DistanceBorja Rodríguez Gálvez, Germán Bassi, Ragnar Thobaben, Mikael Skoglund. nips 2021: 19109-19121 [doi]

Upper Bounds on the Generalization Error of Private Algorithms for Discrete DataBorja Rodríguez Gálvez, Germán Bassi, Mikael Skoglund. TIT, 67(11):7362-7379, 2021. [doi]

A ReLU Dense Layer to Improve the Performance of Neural NetworksAlireza M. Javid, Sandipan Das, Mikael Skoglund, Saikat Chatterjee. icassp 2021: 2810-2814 [doi]

Asynchronous Decentralized Learning of Randomization-Based Neural NetworksXinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee. ijcnn 2021: 1-8 [doi]

Feature Reuse for a Randomization Based Neural NetworkXinyue Liang, Mikael Skoglund, Saikat Chatterjee. icassp 2021: 2805-2809 [doi]

Neural Estimator of Information for Time-Series Data with DependencySina Molavipour, Hamid Ghourchian, Germán Bassi, Mikael Skoglund. entropy, 23(6):641, 2021. [doi]

Neural Estimators for Conditional Mutual Information Using Nearest Neighbors SamplingSina Molavipour, Germán Bassi, Mikael Skoglund. tsp, 69:766-780, 2021. [doi]

Adaptive Interference Coordination over Channels with Unknown State at the Encoder and the DecoderMichail Mylonakis, Photios A. Stavrou, Mikael Skoglund. itw 2021: 1-6 [doi]

Optimal Maximal Leakage-Distortion TradeoffSara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund. itw 2021: 1-6 [doi]

Quantifying Membership Privacy via Information LeakageSara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund. tifs, 16:3096-3108, 2021. [doi]

Quadratic Signaling Games with Channel Combining RatioSerkan Saritas, Photios A. Stavrou, Ragnar Thobaben, Mikael Skoglund. isit 2021: 2690-2695 [doi]

New Formulation of NRDF to Compute Partially Observed Gaussian Processes with MSE DistortionPhotios A. Stavrou, Mikael Skoglund. isit 2021: 1901-1906 [doi]

LQG control and linear policies for noisy communication links with synchronized side information at the decoderPhotios A. Stavrou, Mikael Skoglund. automatica, 123:109306, 2021. [doi]

Hypothesis Testing and Identification SystemsMinh Thanh Vu, Tobias J. Oechtering, Mikael Skoglund. TIT, 67(6):3765-3780, 2021. [doi]

Uncertainty in Identification SystemsMinh Thanh Vu, Tobias J. Oechtering, Mikael Skoglund, Holger Boche. TIT, 67(3):1400-1414, 2021. [doi]

Generalized Talagrand Inequality for Sinkhorn Distance using Entropy Power InequalityShuchan Wang, Photios A. Stavrou, Mikael Skoglund. itw 2021: 1-6 [doi]

Randomized Neural Networks Based Decentralized Multi-Task Learning via Hybrid Multi-Block ADMMYu Ye, Ming Xiao, Mikael Skoglund. tsp, 69:2844-2857, 2021. [doi]

A Design Framework for Strongly χ²-Private Data DisclosureAmirreza Zamani, Tobias J. Oechtering, Mikael Skoglund. tifs, 16:2312-2325, 2021. [doi]

Polar Codes for Biometric Identification and AuthenticationLinghui Zhou, Tobias J. Oechtering, Mikael Skoglund. itw 2021: 1-6 [doi]

Incremental Design of Secure Biometric Identification and AuthenticationLinghui Zhou, Tobias J. Oechtering, Mikael Skoglund. isit 2021: 3196-3201 [doi]

Two-Stage Biometric Identification Systems Without Privacy LeakageLinghui Zhou, Minh Thanh Vu, Tobias J. Oechtering, Mikael Skoglund. jsait, 2(1):223-239, 2021. [doi]

Privacy-Preserving Identification Systems With Noisy EnrollmentLinghui Zhou, Minh Thanh Vu, Tobias J. Oechtering, Mikael Skoglund. tifs, 16:3510-3523, 2021. [doi]

Latency and Reliability Trade-Off With Computational Complexity Constraints: OS Decoders and GeneralizationsHasan Basri Çelebi, Antonios Pitarokoilis, Mikael Skoglund. tcom, 69(4):2080-2092, 2021. [doi]

2020

Power Scaling of Full-Duplex Two-Way Millimeter-Wave Relay With Massive MIMOYi Zhang 0040, Ming Xiao, Shuai Han, Mikael Skoglund, Weixiao Meng 0001. tvt, 69(12):15298-15313, 2020. [doi]

A Learning-Based Approach to Address Complexity-Reliability Tradeoff in OS DecodersBaptiste Cavarec, Hasan Basri Çelebi, Mats Bengtsson, Mikael Skoglund. acssc 2020: 689-692 [doi]

Secure Strong CoordinationGiulia Cervia, Germán Bassi, Mikael Skoglund. cns 2020: 1-6 [doi]

Remote Joint Strong Coordination and Reliable CommunicationGiulia Cervia, Tobias J. Oechtering, Mikael Skoglund. isit 2020: 932-937 [doi]

Detecting State Transitions of a Markov Source: Sampling Frequency and Age Trade-offJaya Prakash Champati, Mikael Skoglund, James Gross. infocom 2020: 7-12 [doi]

A Hybrid Model-Based and Data-Driven Approach to Spectrum Sharing in mmWave Cellular NetworksHossein Shokri Ghadikolaei, Hadi G. Ghauch, Gábor Fodor, Mikael Skoglund, Carlo Fischione. tccn, 6(4):1269-1282, 2020. [doi]

Learning Kolmogorov Models for Binary Random VariablesHadi G. Ghauch, Hossein Shokri Ghadikolaei, Mikael Skoglund, Carlo Fischione. acssc 2020: 1204-1209 [doi]

On Random Subset Generalization Error Bounds and the Stochastic Gradient Langevin Dynamics AlgorithmBorja Rodríguez Gálvez, Germán Bassi, Ragnar Thobaben, Mikael Skoglund. itw 2021: 1-5 [doi]

The Convex Information Bottleneck LagrangianBorja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund. entropy, 22(1):98, 2020. [doi]

Hidden Markov Models for Sepsis Detection in Preterm InfantsAntoine Honoré, Dong Liu 0009, David Forsberg, Karen Coste, Eric Herlenius, Saikat Chatterjee, Mikael Skoglund. icassp 2020: 1130-1134 [doi]

High-dimensional neural feature design for layer-wise reduction of training costAlireza M. Javid, Arun Venkitaraman, Mikael Skoglund, Saikat Chatterjee. ejasp, 2020(1):40, 2020. [doi]

High-Dimensional Neural Feature Using Rectified Linear Unit And Random Matrix InstanceAlireza M. Javid, Arun Venkitaraman, Mikael Skoglund, Saikat Chatterjee. icassp 2020: 4237-4241 [doi]

Adaptive Learning without Forgetting via Low-Complexity Convex NetworksAlireza M. Javid, Xinyue Liang, Mikael Skoglund, Saikat Chatterjee. eusipco 2020: 1623-1627 [doi]

A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise LearningXinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee. ijcnn 2020: 1-8 [doi]

Learning without Forgetting for Decentralized Neural Nets with Low Communication OverheadXinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee. eusipco 2020: 2185-2189 [doi]

Asynchrounous Decentralized Learning of a Neural NetworkXinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee. icassp 2020: 3947-3951 [doi]

Conditional Mutual Information Neural EstimatorSina Molavipour, Germán Bassi, Mikael Skoglund. icassp 2020: 5025-5029 [doi]

Remote Empirical CoordinationMichail Mylonakis, Photios A. Stavrou, Mikael Skoglund. isita 2020: 31-35 [doi]

A Non-Asymptotic Converse on the Maximal Coding Rate of Fading Channels with Partial CSIRAntonios Pitarokoilis, Mikael Skoglund. icc 2020: 1-6 [doi]

NOMA in the Uplink: Delay Analysis With Imperfect CSI and Finite-Length CodingSebastian Schiessl, Mikael Skoglund, James Gross. TWC, 19(6):3879-3893, 2020. [doi]

Computation and System Identification of a Lower Bound on Scalar LQG Control via a Noisy Communication Link with Delayed CaSI at the DecoderPhotios A. Stavrou, Mikael Skoglund. eucc 2020: 1757-1762 [doi]

Non-asymptotic Bounds via Causal Coding on Scalar-Valued Gauss-Markov Sources with MSE Distortion and CaSIPhotios A. Stavrou, Mikael Skoglund. acssc 2020: 428-432 [doi]

Bounds on the Sum-Rate of MIMO Causal Source Coding Systems with Memory under Spatio-Temporal Distortion ConstraintsPhotios A. Stavrou, Jan Østergaard, Mikael Skoglund. entropy, 22(8):842, 2020. [doi]

Hierarchical Identification With Pre-ProcessingMinh Thanh Vu, Tobias J. Oechtering, Mikael Skoglund. TIT, 66(1):82-113, 2020. [doi]

Incremental ADMM with Privacy-Preservation for Decentralized Consensus OptimizationYu Ye, Hao Chen 0048, Ming Xiao, Mikael Skoglund, H. Vincent Poor. isit 2020: 209-214 [doi]

Cache-Enabled Millimeter Wave Cellular Networks With ClustersYu Ye, Shaocheng Huang 0001, Ming Xiao, Zheng Ma 0001, Mikael Skoglund. tcom, 68(12):7732-7745, 2020. [doi]

Data Disclosure Mechanism Design with Non-zero LeakageAmirreza Zamani, Tobias J. Oechtering, Mikael Skoglund. itw 2021: 1-5 [doi]

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