Zobrazeno 1 - 10
of 2 750
pro vyhledávání: '"GUIZANI, MOHSEN"'
Autor:
Cui, Qimei, You, Xiaohu, Wei, Ni, Nan, Guoshun, Zhang, Xuefei, Zhang, Jianhua, Lyu, Xinchen, Ai, Ming, Tao, Xiaofeng, Feng, Zhiyong, Zhang, Ping, Wu, Qingqing, Tao, Meixia, Huang, Yongming, Huang, Chongwen, Liu, Guangyi, Peng, Chenghui, Pan, Zhiwen, Sun, Tao, Niyato, Dusit, Chen, Tao, Khan, Muhammad Khurram, Jamalipour, Abbas, Guizani, Mohsen, Yuen, Chau
With the increasing demand for seamless connectivity and intelligent communication, the integration of artificial intelligence (AI) and communication for sixth-generation (6G) network is emerging as a revolutionary architecture. This paper presents a
Externí odkaz:
http://arxiv.org/abs/2412.14538
Autor:
Boateng, Gordon Owusu, Sami, Hani, Alagha, Ahmed, Elmekki, Hanae, Hammoud, Ahmad, Mizouni, Rabeb, Mourad, Azzam, Otrok, Hadi, Bentahar, Jamal, Muhaidat, Sami, Talhi, Chamseddine, Dziong, Zbigniew, Guizani, Mohsen
The rapid evolution of communication networks in recent decades has intensified the need for advanced Network and Service Management (NSM) strategies to address the growing demands for efficiency, scalability, enhanced performance, and reliability of
Externí odkaz:
http://arxiv.org/abs/2412.19823
Autor:
Zhang, Xianzhi, Zhou, Yipeng, Hu, Miao, Wu, Di, Liao, Pengshan, Guizani, Mohsen, Sheng, Michael
To mitigate the rising concern about privacy leakage, the federated recommender (FR) paradigm emerges, in which decentralized clients co-train the recommendation model without exposing their raw user-item rating data. The differentially private feder
Externí odkaz:
http://arxiv.org/abs/2412.02934
Detecting temporal changes in geographical landscapes is critical for applications like environmental monitoring and urban planning. While remote sensing data is abundant, existing vision-language models (VLMs) often fail to capture temporal dynamics
Externí odkaz:
http://arxiv.org/abs/2410.19552
Large model inference is shifting from cloud to edge due to concerns about the privacy of user interaction data. However, edge devices often struggle with limited computing power, memory, and bandwidth, requiring collaboration across multiple devices
Externí odkaz:
http://arxiv.org/abs/2410.00531
Recent attention-based volumetric segmentation (VS) methods have achieved remarkable performance in the medical domain which focuses on modeling long-range dependencies. However, for voxel-wise prediction tasks, discriminative local features are key
Externí odkaz:
http://arxiv.org/abs/2410.01003
Symbiotic communication (SC) is known as a new wireless communication paradigm, similar to the natural ecosystem population, and can enable multiple communication systems to cooperate and mutualize through service exchange and resource sharing. As a
Externí odkaz:
http://arxiv.org/abs/2408.05776
Publikováno v:
in IEEE Internet of Things Journal, vol. 11, no. 12, pp. 22697-22715, 15 June15, 2024
The metaverse, envisioned as the next digital frontier for avatar-based virtual interaction, involves high-performance models. In this dynamic environment, users' tasks frequently shift, requiring fast model personalization despite limited data. This
Externí odkaz:
http://arxiv.org/abs/2408.03694
The prevalence of AI-generated imagery has raised concerns about the authenticity of astronomical images, especially with advanced text-to-image models like Stable Diffusion producing highly realistic synthetic samples. Existing detection methods, pr
Externí odkaz:
http://arxiv.org/abs/2407.06817
Existing vision-text contrastive learning models enhance representation transferability and support zero-shot prediction by matching paired image and caption embeddings while pushing unrelated pairs apart. However, astronomical image-label datasets a
Externí odkaz:
http://arxiv.org/abs/2407.07315