Poster: Maintaining Training Efficiency and Accuracy for Edge-assisted Online Federated Learning with ABS

Keywords

Computer science, Enhanced Data Rates for GSM Evolution, Sizing, Training (meteorology), Process (computing)

References

• Scaling Distributed Machine Learning with the Parameter ServerMu Li, David G. Andersen, Jun Woo Park — 2014
• Communication-Efficient Learning of Deep Networks from Decentralized DataH. Brendan McMahan, Eider Moore, Daniel Ramage — 2016
• Asynchronous Online Federated Learning for Edge DevicesYujing Chen, Yue Ning, Huzefa Rangwala — 2019

Cited by

• Addressing modern and practical challenges in machine learning: a survey of online federated and transfer learningShuang Dai, Fanlin Meng — 2022
• Distributed Training for Deep Learning Models On An Edge Computing Network Using Shielded Reinforcement LearningTanmoy Sen, Haiying Shen — 2022
• Federated Learning With Massive Random AccessShuhao Xia, Yuanming Shi, Yong Zhou — 2024

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