Machine Learning 3

[논문 리뷰] Less Data, More Knowledge: Building Next-Generation Semantic Communication Networks

논문 링크: Less Data, More Knowledge: Building Next-Generation Semantic Communication NetworksSemantic communication is viewed as a revolutionary paradigm that can potentially transform how we design and operate wireless communication systems. However, despite a recent surge of research activities in this area, remarkably, the research landscape isieeexplore.ieee.org 출처: C. Chaccour, W. Saad, M. De..

[논문 리뷰] Federated Learning: Challenges, Methods, and Future Directions

논문 링크: Federated Learning: Challenges, Methods, and Future DirectionsFederated learning involves training statistical models over remote devices or siloed data centers, such as mobile phones or hospitals, while keeping data localized. Training in heterogeneous and potentially massive networks introduces novel challenges thaieeexplore.ieee.org 출처: T. Li, A. K. Sahu, A. Talwalkar and V. Smith, "F..

[논문 리뷰] A Survey on Semantic Communications for Intelligent Wireless Networks

논문 전문: https://arxiv.org/pdf/2202.03705 출처: Iyer, S., Khanai, R., Torse, D. et al. A Survey on Semantic Communications for Intelligent Wireless Networks. Wireless Pers Commun 129, 569–611 (2023). - 개요 지금까지의 통신 기술은 Shannon의 level 1 문제를, (정보를 정확히 복원) 고대역폭으로 해결하면서 발전해 왔다. 이 level1의 관점은 데이터를 정확하게 복원하는 데만 집중하는 방식을 의미한다. 지난 몇십 년간 이러한 level 1 문제에 따라 multiple-input multiple-output (MIMO), network func..