Federated Learning on Edge Sensing Devices: A Review. (arXiv:2311.01201v1 [cs.LG])

The ability to monitor ambient characteristics, interact with them, and
derive information about the surroundings has been made possible by the rapid
proliferation of edge sensing devices like IoT, mobile, and wearable devices
and their measuring capabilities with integrated sensors. Even though these
devices are small and have less capacity for data storage and processing, they
produce vast amounts of data. Some example application areas where sensor data
is collected and processed include healthcare, environmental (including air
quality and pollution …

ambient arxiv capabilities capacity devices edge federated learning information iot measuring mobile review sensing sensors small them wearable wearable devices