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Federated Learning via Lattice Joint Source-Channel Coding
March 5, 2024, 2:43 p.m. | Seyed Mohammad Azimi-Abarghouyi, Lav R. Varshney
cs.LG updates on arXiv.org arxiv.org
Abstract: This paper introduces a universal federated learning framework that enables over-the-air computation via digital communications, using a new joint source-channel coding scheme. Without relying on channel state information at devices, this scheme employs lattice codes to both quantize model parameters and exploit interference from the devices. A novel two-layer receiver structure at the server is designed to reliably decode an integer combination of the quantized model parameters as a lattice point for the purpose of …
abstract arxiv coding communications computation cs.it cs.lg devices digital exploit federated learning framework information interference lattice math.it novel paper parameters state type universal via
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