Model Compression by Count Sketch for Over-the-Air Stateless Federated Learning
Motivated by the rapidly increasing computing performance of devices and the abundance of device-generated data, federated learning (FL) has emerged as a new distributed machine learning (ML) scheme with a wide range of applications. However, it is well-known that FL might be severely degraded by co...
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Veröffentlicht in: | IEEE internet of things journal 2024-06, Vol.11 (12), p.21689-21703 |
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