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2020 – today
- 2022
[j188]Xinyue Liang, Alireza M. Javid, Mikael Skoglund
, Saikat Chatterjee:
Decentralized learning of randomization-based neural networks with centralized equivalence. Appl. Soft Comput. 115: 108030 (2022)- [j187]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: 331-336 (2022) - [j186]Shuchan Wang, Photios A. Stavrou, Mikael Skoglund:
Generalizations of Talagrand Inequality for Sinkhorn Distance Using Entropy Power Inequality. Entropy 24(2): 306 (2022) - [j185]Ming Xiao, Mikael Skoglund:
Coding for Large-Scale Distributed Machine Learning. Entropy 24(9): 1284 (2022) - [j184]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): 16592-16605 (2022) - [j183]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): 22958-22971 (2022) - [j182]Takashi Tanaka, Henrik Sandberg, Mikael Skoglund:
Transfer-Entropy-Regularized Markov Decision Processes. IEEE Trans. Autom. Control. 67(4): 1944-1951 (2022) - [j181]Ehsan Nekouei, Henrik Sandberg, Mikael Skoglund, Karl Henrik Johansson:
Optimal Privacy-Aware Estimation. IEEE Trans. Autom. Control. 67(5): 2253-2266 (2022) - [j180]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): 3196-3203 (2022) - [j179]Photios A. Stavrou, Mikael Skoglund, Takashi Tanaka:
Sequential Source Coding for Stochastic Systems Subject to Finite Rate Constraints. IEEE Trans. Autom. Control. 67(8): 3822-3835 (2022) - [j178]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): 3081-3095 (2022) - [j177]Hasan Basri Çelebi, Mikael Skoglund:
Goodput Maximization With Quantized Feedback in the Finite Blocklength Regime for Quasi-Static Channels. IEEE Trans. Commun. 70(8): 5071-5084 (2022) - [j176]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Data Disclosure With Non-Zero Leakage and Non-Invertible Leakage Matrix. IEEE Trans. Inf. Forensics Secur. 17: 165-179 (2022) - [j175]Linghui Zhou, Tobias J. Oechtering, Mikael Skoglund:
Fundamental Limits-Achieving Polar Code Designs for Biometric Identification and Authentication. IEEE Trans. Inf. Forensics Secur. 17: 180-195 (2022) - [j174]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): 1941-1951 (2022) - [j173]Hasan Basri Çelebi, Antonios Pitarokoilis, Mikael Skoglund:
A Multi-Objective Optimization Framework for URLLC With Decoding Complexity Constraints. IEEE Trans. Wirel. Commun. 21(4): 2786-2798 (2022) - [j172]Wanlu Lei, Chenguang Lu, Yezi Huang, Jing Rao, Ming Xiao, Mikael Skoglund:
Adaptive Beam Sweeping With Supervised Learning. IEEE Wirel. Commun. Lett. 11(12): 2650-2654 (2022) - [c313]Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias J. Oechtering, Mikael Skoglund:
An Information-Theoretic Analysis of Bayesian Reinforcement Learning. Allerton 2022: 1-7 - [c312]Linghui Zhou, Tobias J. Oechtering, Mikael Skoglund:
Uncertainty in Biometric Identification and Authentication Systems with Strong Secrecy. Allerton 2022: 1-6 - [c311]Photios A. Stavrou, Serkan Santas, Mikael Skoglund:
Privacy Signaling Games with Binary Alphabets. ECC 2022: 1268-1273 - [c310]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Bounds for Privacy-Utility Trade-off with Non-zero Leakage. ISIT 2022: 620-625 - [c309]Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund:
Pointwise Maximal Leakage. ISIT 2022: 626-631 - [c308]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Bounds for Privacy-Utility Trade-off with Per-letter Privacy Constraints and Non-zero Leakage. ITW 2022: 13-18 - [c307]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: 55-60 - [c306]Deyou Zhang, Ming Xiao, Mikael Skoglund:
Beam Tracking for Dynamic mmWave Channels: A New Training Beam Sequence Design Approach. WiOpt 2022: 276-282 - [i141]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Bounds for Privacy-Utility Trade-off with Non-zero Leakage. CoRR abs/2201.08738 (2022) - [i140]Takashi Tanaka, Vrushabh Zinage, Valery A. Ugrinovskii, Mikael Skoglund:
Continuous-Time Channel Gain Control for Minimum-Information Kalman-Bucy Filtering. CoRR abs/2202.02880 (2022) - [i139]Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund:
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning. CoRR abs/2202.03263 (2022) - [i138]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Bounds for Privacy-Utility Trade-off with Per-letter Privacy Constraints and Non-zero Leakage. CoRR abs/2205.04881 (2022) - [i137]Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund:
Pointwise Maximal Leakage. CoRR abs/2205.04935 (2022) - [i136]Hasan Basri Çelebi, Mikael Skoglund:
Goodput Maximization with Quantized Feedback in the Finite Blocklength Regime for Quasi-Static Channels. CoRR abs/2206.15203 (2022) - [i135]Amaury Gouverneur, Borja Rodríguez Gálvez, Tobias J. Oechtering, Mikael Skoglund:
An Information-Theoretic Analysis of Bayesian Reinforcement Learning. CoRR abs/2207.08735 (2022) - [i134]Deyou Zhang, Ming Xiao, Mikael Skoglund:
Beam Tracking for Dynamic mmWave Channels: A New Training Beam Sequence Design Approach. CoRR abs/2209.07886 (2022) - [i133]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 abs/2211.05873 (2022) - [i132]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Multi-User Privacy Mechanism Design with Non-zero Leakage. CoRR abs/2211.15525 (2022) - [i131]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
On the Privacy-Utility Trade-off With and Without Direct Access to the Private Data. CoRR abs/2212.12475 (2022) - [i130]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 abs/2212.13556 (2022) - 2021
- [j171]Photios A. Stavrou, Mikael Skoglund:
LQG control and linear policies for noisy communication links with synchronized side information at the decoder. Autom. 123: 109306 (2021) - [j170]Sina Molavipour, Hamid Ghourchian, Germán Bassi, Mikael Skoglund:
Neural Estimator of Information for Time-Series Data with Dependency. Entropy 23(6): 641 (2021) - [j169]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): 5360-5373 (2021) - [j168]Hamid Ghourchian, Photios A. Stavrou, Tobias J. Oechtering, Mikael Skoglund:
Secure Block Source Coding With Sequential Encoding. IEEE J. Sel. Areas Inf. Theory 2(1): 32-48 (2021) - [j167]Linghui Zhou, Minh Thanh Vu, Tobias J. Oechtering, Mikael Skoglund:
Two-Stage Biometric Identification Systems Without Privacy Leakage. IEEE J. Sel. Areas Inf. Theory 2(1): 223-239 (2021) - [j166]Hasan Basri Çelebi, Antonios Pitarokoilis, Mikael Skoglund:
Latency and Reliability Trade-Off With Computational Complexity Constraints: OS Decoders and Generalizations. IEEE Trans. Commun. 69(4): 2080-2092 (2021) - [j165]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): 3450-3466 (2021) - [j164]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
A Design Framework for Strongly χ²-Private Data Disclosure. IEEE Trans. Inf. Forensics Secur. 16: 2312-2325 (2021) - [j163]Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund:
Quantifying Membership Privacy via Information Leakage. IEEE Trans. Inf. Forensics Secur. 16: 3096-3108 (2021) - [j162]Linghui Zhou, Minh Thanh Vu, Tobias J. Oechtering, Mikael Skoglund:
Privacy-Preserving Identification Systems With Noisy Enrollment. IEEE Trans. Inf. Forensics Secur. 16: 3510-3523 (2021) - [j161]Minh Thanh Vu, Tobias J. Oechtering, Mikael Skoglund, Holger Boche:
Uncertainty in Identification Systems. IEEE Trans. Inf. Theory 67(3): 1400-1414 (2021) - [j160]Minh Thanh Vu, Tobias J. Oechtering, Mikael Skoglund:
Hypothesis Testing and Identification Systems. IEEE Trans. Inf. Theory 67(6): 3765-3780 (2021) - [j159]Borja Rodríguez Gálvez, Germán Bassi, Mikael Skoglund:
Upper Bounds on the Generalization Error of Private Algorithms for Discrete Data. IEEE Trans. Inf. Theory 67(11): 7362-7379 (2021) - [j158]Sina Molavipour, Germán Bassi, Mikael Skoglund:
Neural Estimators for Conditional Mutual Information Using Nearest Neighbors Sampling. IEEE Trans. Signal Process. 69: 766-780 (2021) - [j157]Yu Ye, Ming Xiao, Mikael Skoglund:
Randomized Neural Networks Based Decentralized Multi-Task Learning via Hybrid Multi-Block ADMM. IEEE Trans. Signal Process. 69: 2844-2857 (2021) - [j156]Shaocheng Huang, Yu Ye, Ming Xiao, H. Vincent Poor, Mikael Skoglund:
Decentralized Beamforming Design for Intelligent Reflecting Surface-Enhanced Cell-Free Networks. IEEE Wirel. Commun. Lett. 10(3): 673-677 (2021) - [c305]Baptiste Cavarec, Photios A. Stavrou, Mats Bengtsson, Mikael Skoglund:
Designing Privacy Filters for Hidden Markov Processes. ECC 2021: 1373-1378 - [c304]Xinyue Liang, Mikael Skoglund, Saikat Chatterjee:
Feature Reuse for a Randomization Based Neural Network. ICASSP 2021: 2805-2809 - [c303]Alireza M. Javid, Sandipan Das, Mikael Skoglund, Saikat Chatterjee:
A ReLU Dense Layer to Improve the Performance of Neural Networks. ICASSP 2021: 2810-2814 - [c302]Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee:
Asynchronous Decentralized Learning of Randomization-Based Neural Networks. IJCNN 2021: 1-8 - [c301]Photios A. Stavrou, Mikael Skoglund:
New Formulation of NRDF to Compute Partially Observed Gaussian Processes with MSE Distortion. ISIT 2021: 1901-1906 - [c300]Serkan Saritas, Photios A. Stavrou, Ragnar Thobaben, Mikael Skoglund:
Quadratic Signaling Games with Channel Combining Ratio. ISIT 2021: 2690-2695 - [c299]Linghui Zhou, Tobias J. Oechtering, Mikael Skoglund:
Incremental Design of Secure Biometric Identification and Authentication. ISIT 2021: 3196-3201 - [c298]Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund:
(ϵ, n) Fixed-Length Strong Coordination Capacity. ITW 2021: 1-6 - [c297]Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund:
A Variational Approach to Privacy and Fairness. ITW 2021: 1-6 - [c296]Hamid Ghourchian, Photios A. Stavrou, Tobias J. Oechtering, Mikael Skoglund:
Secure Source Coding with Side-information at Decoder and Shared Key at Encoder and Decoder. ITW 2021: 1-6 - [c295]Michail Mylonakis, Photios A. Stavrou, Mikael Skoglund:
Adaptive Interference Coordination over Channels with Unknown State at the Encoder and the Decoder. ITW 2021: 1-6 - [c294]Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund:
Optimal Maximal Leakage-Distortion Tradeoff. ITW 2021: 1-6 - [c293]Shuchan Wang, Photios A. Stavrou, Mikael Skoglund:
Generalized Talagrand Inequality for Sinkhorn Distance using Entropy Power Inequality. ITW 2021: 1-6 - [c292]Linghui Zhou, Tobias J. Oechtering, Mikael Skoglund:
Polar Codes for Biometric Identification and Authentication. ITW 2021: 1-6 - [c291]Borja Rodríguez Gálvez, Germán Bassi, Ragnar Thobaben, Mikael Skoglund:
Tighter Expected Generalization Error Bounds via Wasserstein Distance. NeurIPS 2021: 19109-19121 - [i129]Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund:
(ε, n) Fixed-Length Strong Coordination Capacity. CoRR abs/2101.06937 (2021) - [i128]Borja Rodríguez Gálvez, Germán Bassi, Ragnar Thobaben, Mikael Skoglund:
Tighter expected generalization error bounds via Wasserstein distance. CoRR abs/2101.09315 (2021) - [i127]Serkan Saritas, Photios A. Stavrou, Ragnar Thobaben, Mikael Skoglund:
Quadratic Signaling Games with Channel Combining Ratio. CoRR abs/2102.02099 (2021) - [i126]Hasan Basri Çelebi, Antonios Pitarokoilis, Mikael Skoglund:
A Multi-Objective Optimization Framework for URLLC with Decoding Complexity Constraints. CoRR abs/2102.12274 (2021) - [i125]Baptiste Cavarec, Hasan Basri Çelebi, Mats Bengtsson, Mikael Skoglund:
A Learning-Based Approach to Address Complexity-Reliability Tradeoff in OS Decoders. CoRR abs/2103.03860 (2021) - [i124]Sara Saeidian, Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund:
Optimal Maximal Leakage-Distortion Tradeoff. CoRR abs/2105.01033 (2021) - [i123]Michail Mylonakis, Photios A. Stavrou, Mikael Skoglund:
Adaptive Interference Coordination over Channels with Unknown State at the Encoder and the Decoder. CoRR abs/2105.07535 (2021) - [i122]Ehsan Nekouei, Henrik Sandberg, Mikael Skoglund, Karl Henrik Johansson:
A Model Randomization Approach to Statistical Parameter Privacy. CoRR abs/2105.10664 (2021) - [i121]Wanlu Lei, Yu Ye, Ming Xiao, Mikael Skoglund, Zhu Han:
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT. CoRR abs/2107.00481 (2021) - [i120]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Data Disclosure with Non-zero Leakage and Non-invertible Leakage Matrix. CoRR abs/2107.07484 (2021) - [i119]Sina Molavipour, Germán Bassi, Mikael Skoglund:
Testing for directed information graphs. CoRR abs/2108.11074 (2021) - [i118]Hamid Ghourchian, Photios A. Stavrou, Tobias J. Oechtering, Mikael Skoglund:
Secure Block Source Coding with Sequential Encoding. CoRR abs/2108.13295 (2021) - [i117]Hamid Ghourchian, Photios A. Stavrou, Tobias J. Oechtering, Mikael Skoglund:
Secure Source Coding with Side-information at Decoder and Shared Key at Encoder and Decoder. CoRR abs/2109.01613 (2021) - [i116]Shuchan Wang, Photios A. Stavrou, Mikael Skoglund:
Generalized Talagrand Inequality for Sinkhorn Distance using Entropy Power Inequality. CoRR abs/2109.08430 (2021) - [i115]Hao Chen, Shaocheng Huang, Deyou Zhang, Ming Xiao, Mikael Skoglund, H. Vincent Poor:
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources. CoRR abs/2110.11775 (2021) - [i114]Photios A. Stavrou, Serkan Saritas, Mikael Skoglund:
Privacy signalling games with binary alphabets. CoRR abs/2111.05947 (2021) - 2020
- [j155]Alireza M. Javid, Arun Venkitaraman, Mikael Skoglund, Saikat Chatterjee:
High-dimensional neural feature design for layer-wise reduction of training cost. EURASIP J. Adv. Signal Process. 2020(1): 40 (2020) - [j154]Borja Rodríguez Gálvez, Ragnar Thobaben, Mikael Skoglund:
The Convex Information Bottleneck Lagrangian. Entropy 22(1): 98 (2020) - [j153]Photios A. Stavrou, Jan Østergaard, Mikael Skoglund:
Bounds on the Sum-Rate of MIMO Causal Source Coding Systems with Memory under Spatio-Temporal Distortion Constraints. Entropy 22(8): 842 (2020) - [j152]Yu Ye, Ming Xiao, Mikael Skoglund:
Mobility-Aware Content Preference Learning in Decentralized Caching Networks. IEEE Trans. Cogn. Commun. Netw. 6(1): 62-73 (2020) - [j151]Hossein Shokri Ghadikolaei, Hadi G. Ghauch, Gábor Fodor, Mikael Skoglund, Carlo Fischione:
A Hybrid Model-Based and Data-Driven Approach to Spectrum Sharing in mmWave Cellular Networks. IEEE Trans. Cogn. Commun. Netw. 6(4): 1269-1282 (2020) - [j150]Yu Ye, Shaocheng Huang, Ming Xiao, Zheng Ma, Mikael Skoglund:
Cache-Enabled Millimeter Wave Cellular Networks With Clusters. IEEE Trans. Commun. 68(12): 7732-7745 (2020) - [j149]Minh Thanh Vu, Tobias J. Oechtering, Mikael Skoglund:
Hierarchical Identification With Pre-Processing. IEEE Trans. Inf. Theory 66(1): 82-113 (2020) - [j148]Yu Ye, Hao Chen, Ming Xiao, Mikael Skoglund, H. Vincent Poor:
Privacy-Preserving Incremental ADMM for Decentralized Consensus Optimization. IEEE Trans. Signal Process. 68: 5842-5854 (2020) - [j147]Yi Zhang, Ming Xiao, Shuai Han, Mikael Skoglund, Weixiao Meng:
Power Scaling of Full-Duplex Two-Way Millimeter-Wave Relay With Massive MIMO. IEEE Trans. Veh. Technol. 69(12): 15298-15313 (2020) - [j146]Sebastian Schiessl, Mikael Skoglund, James Gross:
NOMA in the Uplink: Delay Analysis With Imperfect CSI and Finite-Length Coding. IEEE Trans. Wirel. Commun. 19(6): 3879-3893 (2020) - [c290]Photios A. Stavrou, Mikael Skoglund:
Non-asymptotic Bounds via Causal Coding on Scalar-Valued Gauss-Markov Sources with MSE Distortion and CaSI. ACSSC 2020: 428-432 - [c289]Baptiste Cavarec, Hasan Basri Çelebi, Mats Bengtsson, Mikael Skoglund:
A Learning-Based Approach to Address Complexity-Reliability Tradeoff in OS Decoders. ACSSC 2020: 689-692 - [c288]Hadi G. Ghauch, Hossein Shokri Ghadikolaei, Mikael Skoglund, Carlo Fischione:
Learning Kolmogorov Models for Binary Random Variables. ACSSC 2020: 1204-1209 - [c287]Giulia Cervia, Germán Bassi, Mikael Skoglund:
Secure Strong Coordination. CNS 2020: 1-6 - [c286]Photios A. Stavrou, Mikael Skoglund:
Computation and System Identification of a Lower Bound on Scalar LQG Control via a Noisy Communication Link with Delayed CaSI at the Decoder. ECC 2020: 1757-1762 - [c285]Alireza M. Javid, Xinyue Liang, Mikael Skoglund, Saikat Chatterjee:
Adaptive Learning without Forgetting via Low-Complexity Convex Networks. EUSIPCO 2020: 1623-1627 - [c284]Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee:
Learning without Forgetting for Decentralized Neural Nets with Low Communication Overhead. EUSIPCO 2020: 2185-2189 - [c283]Antoine Honoré, Dong Liu, David Forsberg, Karen Coste, Eric Herlenius, Saikat Chatterjee, Mikael Skoglund:
Hidden Markov Models for Sepsis Detection in Preterm Infants. ICASSP 2020: 1130-1134 - [c282]Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee:
Asynchrounous Decentralized Learning of a Neural Network. ICASSP 2020: 3947-3951 - [c281]Alireza M. Javid, Arun Venkitaraman, Mikael Skoglund, Saikat Chatterjee:
High-Dimensional Neural Feature Using Rectified Linear Unit And Random Matrix Instance. ICASSP 2020: 4237-4241 - [c280]Sina Molavipour, Germán Bassi, Mikael Skoglund:
Conditional Mutual Information Neural Estimator. ICASSP 2020: 5025-5029 - [c279]Antonios Pitarokoilis, Mikael Skoglund:
A Non-Asymptotic Converse on the Maximal Coding Rate of Fading Channels with Partial CSIR. ICC 2020: 1-6 - [c278]Xinyue Liang, Alireza M. Javid, Mikael Skoglund, Saikat Chatterjee:
A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning. IJCNN 2020: 1-8 - [c277]Jaya Prakash Champati, Mikael Skoglund, James Gross:
Detecting State Transitions of a Markov Source: Sampling Frequency and Age Trade-off. INFOCOM Workshops 2020: 7-12 - [c276]Yu Ye, Hao Chen, Ming Xiao, Mikael Skoglund, H. Vincent Poor:
Incremental ADMM with Privacy-Preservation for Decentralized Consensus Optimization. ISIT 2020: 209-214 - [c275]Giulia Cervia, Tobias J. Oechtering, Mikael Skoglund:
Remote Joint Strong Coordination and Reliable Communication. ISIT 2020: 932-937 - [c274]Michail Mylonakis, Photios A. Stavrou, Mikael Skoglund:
Remote Empirical Coordination. ISITA 2020: 31-35 - [c273]Borja Rodríguez Gálvez, Germán Bassi, Ragnar Thobaben, Mikael Skoglund:
On Random Subset Generalization Error Bounds and the Stochastic Gradient Langevin Dynamics Algorithm. ITW 2020: 1-5 - [c272]Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund:
Data Disclosure Mechanism Design with Non-zero Leakage. ITW 2020: 1-5 - [i113]Jaya Prakash Champati, Mikael Skoglund, James Gross:
Detecting State Transitions of a Markov Source: Sampling Frequency and Age Trade-off. CoRR abs/2001.10381 (2020) - [i112]Hossein Shokri Ghadikolaei, Hadi G. Ghauch, Gábor Fodor, Mikael Skoglund, Carlo Fischione:
A Hybrid Model-based and Data-driven Approach to Spectrum Sharing in mmWave Cellular Networks. CoRR abs/2003.08611 (2020) - [i111]