Multiple Parallel Federated Learning via Over-the-Air Computation

Multiple Parallel Federated Learning via Over-the-Air Computation

This paper investigates multiple parallel federated learning in cellular networks, where a base station schedules several FL tasks in parallel and each task has a group of devices involved. To reduce the communication overhead, over-the-air computation is introduced by utilizing the superposition pr...

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Bibliographic Details
Main Authors: Gaoxin Shi, Shuaishuai Guo, Jia Ye, Nasir Saeed, Shuping Dang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Device selection
federated learning
multiple access channel
over-the-air computation
receiver combiner
Online Access:https://ieeexplore.ieee.org/document/9844173/

Internet

https://ieeexplore.ieee.org/document/9844173/

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