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論文筆記——Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
時間 2020-12-26
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論文筆記——Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge 本文提出了一種基於邊緣計算的協議來改進聯邦學習算法。 由服務器和基站(BS)組成的位於無線網絡中的特定MEC平臺管理服務器和客戶端的行爲。 通過MEC operator 對客戶端進行選擇。 首先,隨機選取一定佔比的客戶端
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