> One of the potential advantages of a centralised model is that it would allow the use of machine learning to adapt thresholds to minimise error... This is a

> One of the potential advantages of a centralised model is that it would allow the use of machine learning to adapt thresholds to minimise error... This is a cop out. Machine learning isn’t magic. If the proximity measurement doesn’t really work without ML then it’s probably not going to start working with ML. Besides, if you really wanted to do it in a decentralized app you could use federated learning, no?