【科研基础】联邦学习

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[1]. Kairouz, Peter, et al. “Advances and open problems in federated learning.” Foundations and trends® in machine learning 14.1–2 (2021): 1-210.
[2]. Wang, Hui-Po, et al. “ProgFed: effective, communication, and computation efficient federated learning by progressive training.” International Conference on Machine Learning. PMLR, 2022.

$\mathcal{M}(\cdot ,\mathbf{x}):{\mathbb{R}}^n\to {\mathbb{R}}^k$：模型;
$\mathbf{x}\in {\mathbb{R}}^d$：模型参数，权重;
M : = G S ∘ ◯ ⁡ i = 1 S E i =

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