Digital Over-the-Air Federated Learning in Multi-Antenna Systems

arXiv:2302.14648v3 Announce Type: replace-cross
Abstract: In this paper, the performance optimization of federated learning (FL), when deployed over a realistic wireless multiple-input multiple-output (MIMO) communication system with digital modulation and over-the-air computation (AirComp) is studied. In particular, a MIMO system is considered in which edge devices transmit their local FL models (trained using their locally collected data) to a parameter server (PS) using beamforming to maximize the number of devices scheduled for transmission. The PS, acting as a central controller, …

abstract arxiv communication computation cs.ai cs.it cs.lg devices digital edge edge devices federated learning math.it multiple optimization paper performance systems type wireless