Optimal MIMO Combining for Blind Federated Edge Learning with Gradient Sparsification

Ema Becirovic; Zheng Chen; Erik G. Larsson

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arXiv · 2203.12957

Optimal MIMO Combining for Blind Federated Edge Learning with Gradient Sparsification

Ema Becirovic·Zheng Chen·Erik G. Larsson

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Abstract

We provide the optimal receive combining strategy for federated learning in multiple-input multiple-output (MIMO) systems. Our proposed algorithm allows the clients to perform individual gradient sparsification which greatly improves performance in scenarios with heterogeneous (non i.i.d.) training data. The proposed method beats the benchmark by a wide margin.

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BibTeX RIS

Ema Becirovic, Zheng Chen, Erik G. Larsson. 2022-03-24. Optimal MIMO Combining for Blind Federated Edge Learning with Gradient Sparsification. https://arxiv.org/abs/2203.12957

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