An Overview on Over-the-Air Federated Edge Learning

08/11/2022
by   Xiaowen Cao, et al.
0

Over-the-air federated edge learning (Air-FEEL) has emerged as a promising solution to support edge artificial intelligence (AI) in future beyond 5G (B5G) and 6G networks. In Air-FEEL, distributed edge devices use their local data to collaboratively train AI models while preserving data privacy, in which the over-the-air model/gradient aggregation is exploited for enhancing the learning efficiency. This article provides an overview on the state of the art of Air-FEEL. First, we present the basic principle of Air-FEEL, and introduce the technical challenges for Air-FEEL design due to the over-the-air aggregation errors, as well as the resource and data heterogeneities at edge devices. Next, we present the fundamental performance metrics for Air-FEEL, and review resource management solutions and design considerations for enhancing the Air-FEEL performance. Finally, several interesting research directions are pointed out to motivate future work.

READ FULL TEXT
research
09/06/2021

Reconfigurable Intelligent Surface Empowered Over-the-Air Federated Edge Learning

Federated edge learning (FEEL) has emerged as a revolutionary paradigm t...
research
07/26/2020

Empowering the Edge Intelligence by Air-Ground Integrated Federated Learning in 6G Networks

Ubiquitous intelligence has been widely recognized as a critical vision ...
research
09/04/2020

Over-the-Air Computing for 6G – Turning Air into a Computer

Wireless data aggregation (WDA), referring to aggregating data distribut...
research
12/02/2022

Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network

The space-air-ground integrated network (SAGIN), one of the key technolo...
research
06/17/2023

Edge Intelligence Over the Air: Two Faces of Interference in Federated Learning

Federated edge learning is envisioned as the bedrock of enabling intelli...
research
05/03/2021

Hierarchical Reinforcement Learning for Air-to-Air Combat

Artificial Intelligence (AI) is becoming a critical component in the def...
research
03/03/2021

Temporal-Structure-Assisted Gradient Aggregation for Over-the-Air Federated Edge Learning

In this paper, we investigate over-the-air model aggregation in a federa...

Please sign up or login with your details

Forgot password? Click here to reset