Joint Communication and Sensing (JCS) is a key feature of 6G networks. Multi-point localization using Wi-Fi Channel State Information (CSI) is a prime example of JCS. However, deploying such applications at the network edge is complex. It requires fusing CSI data collected by multiple access points (APs) and managing significant computational workloads on resource-constrained devices. This creates a two-fold challenge: 1) At the application level, how much does collaboration (using multiple APs) actually improve performance, and how robust is this performance to sensor (AP) failure? 2) At the system level, how can we deploy these collaborative applications (which have different strategies, like model splitting or data fusion) in a dynamic and efficient way, instead of using static, manual configurations? This thesis addresses both challenges.