Mikael Skoglund

Mikael Skoglund

Kungliga Tekniska högskolan

H-index: 47

Europe-Sweden

About Mikael Skoglund

Mikael Skoglund, With an exceptional h-index of 47 and a recent h-index of 26 (since 2020), a distinguished researcher at Kungliga Tekniska högskolan, specializes in the field of Information Theory, Communications, Signal Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Indirect NRDF for Partially Observable Gauss-Markov Processes with MSE Distortion: Characterizations and Optimal Solutions

Continuous-time channel gain control for minimum-information kalman-bucy filtering

Fluid antenna array enhanced over-the-air computation

Gradient Coding in Decentralized Learning for Evading Stragglers

Straggler-Resilient Asynchronous Decentralized ADMM for Consensus Optimization

Cooperative Communication Based Gradient Coding for Wireless Federated Learning

Towards Optimal Pilot Spacing and Power Control in Multi-Antenna Systems Operating Over Non-Stationary Rician Aging Channels

Multi-terminal strong coordination over noiseless networks with secrecy constraints

Mikael Skoglund Information

University

Position

___

Citations(all)

10222

Citations(since 2020)

3236

Cited By

8283

hIndex(all)

47

hIndex(since 2020)

26

i10Index(all)

249

i10Index(since 2020)

103

Email

University Profile Page

Kungliga Tekniska högskolan

Google Scholar

View Google Scholar Profile

Mikael Skoglund Skills & Research Interests

Information Theory

Communications

Signal Processing

Top articles of Mikael Skoglund

Title

Journal

Author(s)

Publication Date

Indirect NRDF for Partially Observable Gauss-Markov Processes with MSE Distortion: Characterizations and Optimal Solutions

IEEE Transactions on Automatic Control

Photios A Stavrou

Mikael Skoglund

2024/2/8

Continuous-time channel gain control for minimum-information kalman-bucy filtering

arXiv preprint arXiv:2202.02880

Takashi Tanaka

Vrushabh Zinage

Valery Ugrinovskii

Mikael Skoglund

2022/2/6

Fluid antenna array enhanced over-the-air computation

IEEE Wireless Communications Letters

Deyou Zhang

Sicong Ye

Ming Xiao

Kezhi Wang

Marco Di Renzo

...

2024/3/18

Gradient Coding in Decentralized Learning for Evading Stragglers

arXiv preprint arXiv:2402.04193

Chengxi Li

Mikael Skoglund

2024/2/6

Straggler-Resilient Asynchronous Decentralized ADMM for Consensus Optimization

Jeannie He

Ming Xiao

Mikael Skoglund

2024/3/13

Cooperative Communication Based Gradient Coding for Wireless Federated Learning

arXiv preprint arXiv:2404.00780

Shudi Weng

Chengxi Li

Ming Xiao

Mikael Skoglund

2024/3/31

Towards Optimal Pilot Spacing and Power Control in Multi-Antenna Systems Operating Over Non-Stationary Rician Aging Channels

arXiv preprint arXiv:2401.13368

Sajad Daei

Gabor Fodor

Mikael Skoglund

Miklos Telek

2024/1/24

Multi-terminal strong coordination over noiseless networks with secrecy constraints

International Zurich Seminar on Information and Communication (IZS 2024). Proceedings

Viswanathan Ramachandran

Tobias J Oechtering

Mikael Skoglund

2024/3/6

A note on generalization bounds for losses with finite moments

arXiv preprint arXiv:2403.16681

Borja Rodríguez-Gálvez

Omar Rivasplata

Ragnar Thobaben

Mikael Skoglund

2024/3/25

Secure Spatial Signal Design for ISAC in a Cell-Free MIMO Network

arXiv preprint arXiv:2401.12901

Steven Rivetti

Emil Bjornson

Mikael Skoglund

2024/1/23

Chained Information-Theoretic bounds and Tight Regret Rate for Linear Bandit Problems

arXiv preprint arXiv:2403.03361

Amaury Gouverneur

Borja Rodríguez-Gálvez

Tobias J Oechtering

Mikael Skoglund

2024/3/5

Adaptive Coded Federated Learning: Privacy Preservation and Straggler Mitigation

arXiv preprint arXiv:2403.14905

Chengxi Li

Ming Xiao

Mikael Skoglund

2024/3/22

Distribution-Preserving Integrated Sensing and Communication with Secure Reconstruction

Y Chen

T Oechtering

H Boche

M Skoglund

Y Luo

2024

Quantifying Privacy via Information Density

arXiv preprint arXiv:2402.12967

Leonhard Grosse

Sara Saeidian

Parastoo Sadeghi

Tobias J Oechtering

Mikael Skoglund

2024/2/20

Malicious Reconfigurable Intelligent Surfaces: How Impactful can Destructive Beamforming be?

arXiv preprint arXiv:2402.13351

Steven Rivetti

Ozlem Tugfe Demir

Emil Bjornson

Mikael Skoglund

2024/2/20

Distributed learning based on 1-bit gradient coding in the presence of stragglers

IEEE Transactions on Communications

Chengxi Li

Mikael Skoglund

2024/3/19

Private Variable-Length Coding with Non-Zero Leakage

Amirreza Zamani

Tobias J Oechtering

Mikael Skoglund

2023/12/4

Over-the-Air Computation Empowered Federated Learning: A Joint Uplink-Downlink Design

Deyou Zhang

Ming Xiao

Mikael Skoglund

2023/10/10

Are single-peaked tuning curves tuned for speed rather than accuracy?

Elife

Movitz Lenninger

Mikael Skoglund

Pawel Andrzej Herman

Arvind Kumar

2023/5/16

Secure block joint source-channel coding with sequential encoding

Hamid Ghourchian

Tobias J Oechtering

Mikael Skoglund

2023/6/25

See List of Professors in Mikael Skoglund University(Kungliga Tekniska högskolan)

Co-Authors

H-index: 182
HV Poor

HV Poor

Princeton University

H-index: 100
Björn Ottersten

Björn Ottersten

Université du Luxembourg

H-index: 100
Karl H. Johansson

Karl H. Johansson

Kungliga Tekniska högskolan

H-index: 99
Erik G. Larsson

Erik G. Larsson

Linköpings Universitet

H-index: 50
Henrik Sandberg

Henrik Sandberg

Kungliga Tekniska högskolan

H-index: 49
Peter Händel

Peter Händel

Kungliga Tekniska högskolan

academic-engine