Information, expression, participation: How involvement in user- generated content relates to democratic engagement among young people. - Johan Östman (New Media Soc., 2012)

Diversity versus multiplexing at finite blocklength. - Johan Östman; Wei Yang 001; Giuseppe Durisi; Tobias Koch 001 (ISWCS, 2014)

Short-Packet Communications with Multiple Antennas: Transmit Diversity, Spatial Multiplexing, and Channel Estimation Overhead. - Giuseppe Durisi; Tobias Koch 001; Johan Östman; Yury Polyanskiy; Wei Yang 001 (CoRR, 2014)

Information, Interaction, and Creative Production. - Mats Ekström; Johan Östman (Commun. Res., 2015)

Finite-SNR Bounds on the Sum-Rate Capacity of Rayleigh Block-Fading Multiple-Access Channels With No A Priori CSI. - Rahul Devassy; Giuseppe Durisi; Johan Östman; Wei Yang 001; Tome Eftimov; Zoran Utkovski (IEEE Trans. Commun., 2015)

Low-latency Ultra Reliable 5G Communications: Finite-Blocklength Bounds and Coding Schemes. - Johan Östman; Giuseppe Durisi; Erik G. Ström; Jingya Li; Henrik Sahlin; Gianluigi Liva (CoRR, 2016)

Short-Packet Communications Over Multiple-Antenna Rayleigh-Fading Channels. - Giuseppe Durisi; Tobias Koch 001; Johan Östman; Yury Polyanskiy; Wei Yang 001 (IEEE Trans. Commun., 2016)

Finite-blocklength bounds on the maximum coding rate of rician fading channels with applications to pilot-assisted transmission. - Johan Östman; Giuseppe Durisi; Erik G. Ström (SPAWC, 2017)

Evaluating IPv6 Connectivity for IEEE 802.15.4 and Bluetooth Low Energy. - Patrik Trelsmo; Piergiuseppe Di Marco; Per Skillermark; Roman Chirikov; Johan Östman (WCNC Workshops, 2017)

Pilot-assisted short-packet transmission over multiantenna fading channels: A 5G case study. - Guido Carlo Ferrante; Johan Östman; Giuseppe Durisi; Kittipong Kittichokechai (CISS, 2018)

Low-Latency Short-Packet Transmissions: Fixed Length or HARQ? - Johan Östman; Rahul Devassy; Guido Carlo Ferrante; Giuseppe Durisi (GLOBECOM Workshops, 2018)

Finite-Blocklength Approximations for Noncoherent Rayleigh Block-Fading Channels. - Alejandro Lancho; Johan Östman; Tobias Koch 001; Gonzalo Vazquez-Vilar (ACSSC, 2019)

Short-Packet Transmission over a Bidirectional Massive MIMO link. - Johan Östman; Alejandro Lancho; Giuseppe Durisi (ACSSC, 2019)

List Decoding of Short Codes for Communication over Unknown Fading Channels. - Marvin Xhemrishi; Mustafa Cemil Coskun; Gianluigi Liva; Johan Östman; Giuseppe Durisi (ACSSC, 2019)

Peak-Age Violation Guarantees for the Transmission of Short Packets over Fading Channels. - Johan Östman; Rahul Devassy; Giuseppe Durisi; Elif Uysal (INFOCOM Workshops, 2019)

Saddlepoint Approximations for Noncoherent Single-Antenna Rayleigh Block-Fading Channels. - Alejandro Lancho; Johan Östman; Giuseppe Durisi; Tobias Koch 001; Gonzalo Vazquez-Vilar (ISIT, 2019)

On the Nonasymptotic Performance of Variable-Length Codes with Noisy Stop Feedback. - Johan Östman; Rahul Devassy; Giuseppe Durisi; Erik G. Ström (ITW, 2019)

Low-Complexity Joint Channel Estimation and List Decoding of Short Codes. - Mustafa Cemil Coskun; Gianluigi Liva; Johan Östman; Giuseppe Durisi (CoRR, 2019)

Saddlepoint Approximations for Rayleigh Block-Fading Channels. - Alejandro Lancho; Johan Östman; Giuseppe Durisi; Tobias Koch 001; Gonzalo Vazquez-Vilar (CoRR, 2019)

Short Packets Over Block-Memoryless Fading Channels: Pilot-Assisted or Noncoherent Transmission? - Johan Östman; Giuseppe Durisi; Erik G. Ström; Mustafa Cemil Coskun; Gianluigi Liva (IEEE Trans. Commun., 2019)

Saddlepoint Approximations for Short-Packet Wireless Communications. - Alejandro Lancho; Johan Östman; Giuseppe Durisi; Tobias Koch 001; Gonzalo Vazquez-Vilar (IEEE Trans. Wirel. Commun., 2020)

On Joint Detection and Decoding in Short-Packet Communications. - Alejandro Lancho; Johan Östman; Giuseppe Durisi (GLOBECOM, 2021)

A Finite-Blocklength Analysis for URLLC with Massive MIMO. - Alejandro Lancho; Johan Östman; Giuseppe Durisi; Luca Sanguinetti (ICC, 2021)

Short-Packet Transmission via Variable-Length Codes in the Presence of Noisy Stop Feedback. - Johan Östman; Rahul Devassy; Giuseppe Durisi; Erik G. Ström (IEEE Trans. Wirel. Commun., 2021)

URLLC With Massive MIMO: Analysis and Design at Finite Blocklength. - Johan Östman; Alejandro Lancho; Giuseppe Durisi; Luca Sanguinetti (IEEE Trans. Wirel. Commun., 2021)

Can the use of privacy enhancing technologies enable federated learning for health data applications in a Swedish regulatory context? - Rickard Brännvall; Helena Linge; Johan Östman (SAIS, 2023)

Decentralized Online Bandit Optimization on Directed Graphs with Regret Bounds. - Johan Östman; Ather Gattami; Daniel Gillblad (CoRR, 2023)

Private Node Selection in Personalized Decentralized Learning. - Edvin Listo Zec; Johan Östman; Olof Mogren; Daniel Gillblad (CoRR, 2023)

Decentralised Semi-supervised Onboard Learning for Scene Classification in Low-Earth Orbit. - Johan Östman; Pablo Gómez; Vinutha Magal Shreenath; Gabriele Meoni (CoRR, 2023)

Balancing Privacy and Security in Federated Learning with FedGT: A Group Testing Framework. - Marvin Xhemrishi; Johan Östman; Antonia Wachter-Zeh; Alexandre Graell i Amat (CoRR, 2023)

Towards Holistic Disease Risk Prediction using Small Language Models. - Liv Björkdahl; Oskar Pauli; Johan Östman; Chiara Ceccobello; Sara Lundell; Magnus Kjellberg (ICMLA, 2024)

On Local Mutual-Information Privacy. - Khac-Hoang Ngo; Johan Östman; Alexandre Graell i Amat (ITW, 2024)

Efficient Node Selection in Private Personalized Decentralized Learning. - Edvin Listo Zec; Johan Östman; Olof Mogren; Daniel Gillblad (NLDL, 2024)

Secure Aggregation Is Not Private Against Membership Inference Attacks. - Khac-Hoang Ngo; Johan Östman; Giuseppe Durisi; Alexandre Graell i Amat (ECML/PKDD (6), 2024)

Poisoning Attacks on Federated Learning for Autonomous Driving. - Sonakshi Garg; Hugo Jönsson; Gustav Kalander; Axel Nilsson; Bhhaanu Pirange; Viktor Valadi; Johan Östman (SCAI, 2024)

FedStruct: Federated Decoupled Learning over Interconnected Graphs. - Javad Aliakbari; Johan Östman; Alexandre Graell i Amat (CoRR, 2024)

Local Mutual-Information Differential Privacy. - Khac-Hoang Ngo; Johan Östman; Alexandre Graell i Amat (CoRR, 2024)

PAseos Simulates the Environment for Operating Multiple Spacecraft. - Pablo Gómez; Johan Östman; Vinutha Magal Shreenath; Gabriele Meoni (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Decoupled Subgraph Federated Learning. - Javad Aliakbari; Johan Östman; Alexandre Graell i Amat (ICLR, 2025)

FedGT: Identification of Malicious Clients in Federated Learning With Secure Aggregation. - Marvin Xhemrishi; Johan Östman; Antonia Wachter-Zeh; Alexandre Graell i Amat (IEEE Trans. Inf. Forensics Secur., 2025)

Soft-Decision Decoding for LDPC Code-Based Quantitative Group Testing. - Marvin Xhemrishi; Johan Östman; Alexandre Graell i Amat (CoRR, 2025)

Practical Bayes-Optimal Membership Inference Attacks. - Marcus Lassila; Johan Östman; Khac-Hoang Ngo; Alexandre Graell i Amat (CoRR, 2025)

AMLgentex: Mobilizing Data-Driven Research to Combat Money Laundering. - Johan Östman; Edvin Callisen; Anton Chen; Kristiina Ausmees; Emanuel Gårdh; Jovan Zamac; Jolanta Goldsteine; Hugo Wefer; Simon Whelan; Markus Reimegård (CoRR, 2025)

Publishing neural networks in drug discovery might compromise training data privacy. - Fabian Krüger; Johan Östman; Lewis H. Mervin; Igor V. Tetko; Ola Engkvist (J. Cheminformatics, 2025)