Decentralized Online Learning With Compressed Communication for Near-Sensor Data Analytics

Near-sensor data analytics advocates processing data locally near their sources, rather than gathering them for centralized processing. It can reduce communication costs and is particularly suitable for networked sensor systems whose data are geo-distributed. As most sensors and associated devices have limited computing power, it is desirable for them to collaborate, especially in a decentralized ...