Architecture Design
Architecture design, encompassing both physical structures and software systems, is undergoing a transformation driven by advancements in artificial intelligence. Current research focuses on developing novel architectures for various applications, including efficient neural networks for tasks like speech emotion recognition and video question answering, as well as generative AI models for architectural design and autonomous systems. These efforts aim to improve efficiency, robustness, and adaptability across diverse domains, impacting fields from robotics and urban planning to computer vision and software engineering.
Papers
Satellite Federated Edge Learning: Architecture Design and Convergence Analysis
Yuanming Shi, Li Zeng, Jingyang Zhu, Yong Zhou, Chunxiao Jiang, Khaled B. Letaief
Neuromorphic Split Computing with Wake-Up Radios: Architecture and Design via Digital Twinning
Jiechen Chen, Sangwoo Park, Petar Popovski, H. Vincent Poor, Osvaldo Simeone