Straipsniai su viešo pasiekiamumo įpareigojimais - Deniz GunduzSužinokite daugiau
Niekur nepasiekiama: 11
Decentralized caching and coded delivery with distinct cache capacities
MM Amiri, Q Yang, D Gündüz
IEEE Transactions on Communications 65 (11), 4657-4669, 2017
Įpareigojimai: European Commission
Bottlenecks CLUB: Unifying information-theoretic trade-offs among complexity, leakage, and utility
B Razeghi, FP Calmon, D Gunduz, S Voloshynovskiy
IEEE Transactions on Information Forensics and Security 18, 2060-2075, 2023
Įpareigojimai: US National Science Foundation, Swiss National Science Foundation, UK …
Remote reinforcement learning over a noisy channel
JSP Roig, D Gündüz
GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020
Įpareigojimai: European Commission
Robust semi-decentralized federated learning via collaborative relaying
M Yemini, R Saha, E Ozfatura, D Gündüz, AJ Goldsmith
IEEE Transactions on Wireless Communications 23 (7), 7520-7536, 2023
Įpareigojimai: US Department of Defense, UK Engineering and Physical Sciences Research …
One-bit over-the-air aggregation for communication-efficient federated edge learning
G Zhu, Y Du, D Gündüz, K Huang
GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020
Įpareigojimai: National Natural Science Foundation of China, European Commission, Research …
Transmit or retransmit: A tradeoff in networked control of dynamical processes over lossy channels with ideal feedback
T Soleymani, JS Baras, D Gündüz
IEEE Transactions on Information Theory, 2024
Įpareigojimai: European Commission, UK Research & Innovation
Goal-oriented compression with a constrained decoder
S Kobus, TY Tung, D Gündüz
2023 IEEE International Symposium on Information Theory (ISIT), 868-873, 2023
Įpareigojimai: UK Research & Innovation
Meta-learning based blind image super-resolution approach to different degradations
Z Yang, J Xia, S Li, W Liu, S Zhi, S Zhang, L Liu, Y Fu, D Gündüz
Neural Networks 178, 106429, 2024
Įpareigojimai: UK Engineering and Physical Sciences Research Council, European Commission
Deep joint source-channel coding over the relay channel
C Bian, Y Shao, H Wu, D Gündüz
2024 IEEE International Conference on Machine Learning for Communication and …, 2024
Įpareigojimai: UK Research & Innovation
Systematic lossy source transmission over Gaussian time-varying channels
IE Aguerri, D Gündüz
2013 IEEE International Symposium on Information Theory, 1-5, 2013
Įpareigojimai: Government of Spain
Adversarial Jamming for Autoencoder Distribution Matching
W El-Geresy, D Gündüz
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
Įpareigojimai: European Commission, UK Research & Innovation
Kur nors pasiekiama: 267
Deep joint source-channel coding for wireless image transmission
E Bourtsoulatze, DB Kurka, D Gündüz
IEEE Transactions on Cognitive Communications and Networking 5 (3), 567-579, 2019
Įpareigojimai: European Commission
Machine learning at the wireless edge: Distributed stochastic gradient descent over-the-air
MM Amiri, D Gündüz
IEEE Transactions on Signal Processing 68, 2155-2169, 2020
Įpareigojimai: European Commission
Federated learning over wireless fading channels
MM Amiri, D Gündüz
IEEE transactions on wireless communications 19 (5), 3546-3557, 2020
Įpareigojimai: European Commission
The multiway relay channel
D Gunduz, A Yener, A Goldsmith, HV Poor
IEEE Transactions on Information Theory 59 (1), 51-63, 2013
Įpareigojimai: Government of Spain
Distributed learning in wireless networks: Recent progress and future challenges
M Chen, D Gündüz, K Huang, W Saad, M Bennis, AV Feljan, HV Poor
IEEE Journal on Selected Areas in Communications 39 (12), 3579-3605, 2021
Įpareigojimai: US National Science Foundation, US Department of Defense, Academy of Finland …
Beyond transmitting bits: Context, semantics, and task-oriented communications
D Gündüz, Z Qin, IE Aguerri, HS Dhillon, Z Yang, A Yener, KK Wong, ...
IEEE Journal on Selected Areas in Communications 41 (1), 5-41, 2022
Įpareigojimai: US National Science Foundation, National Natural Science Foundation of China …
Hierarchical federated learning across heterogeneous cellular networks
MSH Abad, E Ozfatura, D Gunduz, O Ercetin
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Įpareigojimai: European Commission
One-bit over-the-air aggregation for communication-efficient federated edge learning: Design and convergence analysis
G Zhu, Y Du, D Gündüz, K Huang
IEEE Transactions on Wireless Communications 20 (3), 2120-2135, 2020
Įpareigojimai: National Natural Science Foundation of China, UK Engineering and Physical …
A learning theoretic approach to energy harvesting communication system optimization
P Blasco, D Gunduz, M Dohler
IEEE Transactions on Wireless Communications 12 (4), 1872-1882, 2013
Įpareigojimai: Government of Spain
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