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This paper studies task-oriented, otherwise known as goal-oriented, communications, in a setting where a transmitter communicates with multiple receivers, each with its own task to complete on a dataset, e.g., images, available at the transmitter.
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J. Shao, Y. Mao, and J. Zhang, “Learning task-oriented communication for edge inference: An information bottleneck approach,” IEEE Journal on Selected Areas in Communications , vol. 40, no. 1, pp. 197–211, 2021
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M. Mortaheb, C. Vahapoglu, and S. Ulukus, “FedGradNorm: Personalized federated gradient-normalized multi-task learning,” in IEEE International Workshop on Signal Processing Advances in Wireless Communication , 2022
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——, “Vulnerabilities of deep learning-driven semantic communications to backdoor (trojan) attacks,” in Conference on Information Sciences and Systems (CISS) , 2023
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E. Kutay and A. Yener, “Semantic text compression for classification,” in IEEE International Conference on Communications Workshops , 2023
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P. Jiang, C.-K. Wen, S. Jin, and G. Y. Li, “Wireless semantic communications for video conferencing,” IEEE Journal on Selected Areas in Communications , vol. 41, no. 1, pp. 230–244, 2023
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E. Uysal, O. Kaya, A. Ephremides, J. Gross, M. Codreanu, P. Popovski, M. Assaad, G. Liva, A. Munari, T. Soleymani, B. S. Soret, and H. Johansson, “Semantic communications in networked systems,” IEEE Network , vol. 36, no. 4, pp. 233–240, 2022
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X. Kang, B. Song, J. Guo, Z. Qin, and F. R. Yu, “Task-oriented image transmission for scene classification in unmanned aerial systems,” IEEE Transactions on Communications , vol. 70, no. 8, pp. 5181–5192, 2022
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Y. E. Sagduyu, S. Ulukus, and A. Yener, “Task-oriented communications for nextg: End-to-end deep learning and ai security aspects,” IEEE Wireless Communications , vol. 30, no. 3, pp. 52–60, 2023
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M. Mortaheb and S. Ulukus, “Personalized decentralized multi-task learning over dynamic communication graphs,” in Conference on Information Sciences and Systems (CISS) , 2023
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