Federated Learning in Mobile Edge Networks: AComprehensive Survey(翻譯)
名詞：聯邦學習(FL)、ML、MEC BAA(寬帶模擬聚合)、CNN(卷積神經網絡)、CV(計算機視覺)、 DDQN(雙深度Q網絡)、DL(深度學習)DNN(深度神經網絡)、 DP(差分隱私)、DQL(深度Q學習)、DRL(深度強化學習)、 FedAvg(聯邦平均)、FL(聯合學習)、GAN(對抗網絡)、 IID(獨立和同一分佈)loT(物聯網，車聯網)、LSTM(長短時間記憶) MEC(移動邊緣
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相關文章
- 1. 論文筆記——Federated learning framework for mobile edge computing networks
- 2. Differentially Private Asynchronous Federated Learning for Mobile Edge Computing in Urban Informatic
- 3. Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
- 4. Meta-Learning in Neural Networks: A Survey元學習最新綜述（翻譯）
- 5. 論文筆記——Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
- 6. Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach
- 7. 【翻譯】How to Backdoor Federated Learning
- 8. A Survey on Deep Transfer Learning 2018 翻譯
- 9. 元學習——Meta-Learning in Neural Networks: A Survey
- 10. 邊緣計算（Mobile Edge Computing：A Survey）