METHOD AND APPARATUS FOR FEDERATED LOCATION FINGERPRINTING

Methods described herein relate to identifying a context of a client, and more particularly, to identifying a context of a client while maintaining data privacy and anonymity. Methods may include: providing a machine learning model to a client; receiving a state vector from the client; determining, based on using the state vector as input to the machine learning model, a representative location of the client; and providing, to the client, location-related services or information based on the representative location of the client. The representative location of the client may include a context vector. The context vector may include an indication of a count of points-of-interest for a respective category of a plurality of categories of points-of-interest. A corresponding apparatus and computer program product are also provided.