Towards Edge-Cloud Collaborative Machine Learning: A Quality-aware Task Partition Framework

Author:

Zheng Zimu1,Li Yunzhe2,Song Han3,Wang Lanjun4,Xia Fei1

Affiliation:

1. Huawei Cloud, Shenzhen, China

2. Huawei Cloud & Shanghai Jiao Tong University, Shenzhen, China

3. Huawei Cloud & Xi'an Jiaotong University, Shenzhen, China

4. Tianjin University, Tianjin, China

Publisher

ACM

Reference53 articles.

1. On-edge multi-task transfer learning: Model and practice with data-driven task allocation;Qiong Chen;IEEE TPDS,2019

2. An edge based data-driven chiller sequencing framework for hvac electricity consumption reduction in commercial buildings;Zimu Zheng;IEEE Transactions on Sustainable Computing,2019

3. Zimu Zheng et al. Duet: Towards a portable thermal comfort model . In ACM BuildSys and Sensys , pages 51 -- 60 , 2019 . Zimu Zheng et al. Duet: Towards a portable thermal comfort model. In ACM BuildSys and Sensys, pages 51--60, 2019.

4. Virginia Smith et al. Federated multi-task learning . In NeurIPS , pages 4424 -- 4434 , 2017 . Virginia Smith et al. Federated multi-task learning. In NeurIPS, pages 4424--4434, 2017.

5. A survey on transfer learning;Pan Sinno Jialin;IEEE TKDE,2010

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