The recent developments in the research area of wireless communication and sensing have shown a significant shift towards more collaborative and decentralized approaches. There is a notable emphasis on integrating sensing capabilities with communication systems, a trend exemplified by the rise of Integrated Sensing and Communication (ISAC) technologies. This integration aims to enhance both communication performance and sensing accuracy, particularly in dense user scenarios where multi-user interference is a critical issue. Innovations in precoding methods, such as decentralized baseband processing, are being explored to mitigate interference and improve spectral efficiency. Additionally, there is a growing interest in secure computation offloading and resource allocation in ultra-dense networks, addressing the challenges of interference and security in these complex environments. Collaborative state fusion in multi-agent environments is another area seeing advancements, with new frameworks proposed to improve target state estimation through robust data fusion techniques. Furthermore, the field is moving beyond traditional block-fading assumptions, with a focus on developing more dynamic and adaptive activity detection frameworks that better reflect real-world channel conditions. These trends collectively point towards a future where wireless systems are more intelligent, adaptive, and capable of handling the increasing complexity and demands of modern communication networks.