Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling

Jiaxiang Geng; Yanzhao Hou; Xiaofeng Tao; Juncheng Wang; Bing Luo

Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling

Jiaxiang Geng, Yanzhao Hou, Xiaofeng Tao, Juncheng Wang, Bing Luo^*

^*Corresponding author for this work

Department of Computer Science

Research output: Contribution to conference › Conference paper › peer-review

Original language	English
Publication status	Published - 10 Jun 2024
Event	2024 IEEE International Conference on Communications, ICC 2024: Scaling the Peaks of Global Communications - Sheraton Denver Downtown Hotel, Denver, United States Duration: 9 Jun 2024 → 13 Jun 2024 https://icc2024.ieee-icc.org/ (Link to conference website) https://icc2024.ieee-icc.org/program (Link to conference programme)

Conference

Conference	2024 IEEE International Conference on Communications, ICC 2024
Country/Territory	United States
City	Denver
Period	9/06/24 → 13/06/24
Internet address	https://icc2024.ieee-icc.org/ (Link to conference website) https://icc2024.ieee-icc.org/program (Link to conference programme)

Cite this

@conference{70ae101e03c0402d93bef811cc7da808,

title = "Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling",

author = "Jiaxiang Geng and Yanzhao Hou and Xiaofeng Tao and Juncheng Wang and Bing Luo",

note = "Funding information: This work was supported in part by the Joint Research Fund for Beijing Natural Science Foundation and Haidian Original Innovation under Grant L232001, in part by the National Key R&D Program of China under Grant 2019YFE0114000, in part by the Major Key Project of PCL, in part by the 111 Project of China (No. B16006), and in part by the Fundamental Research Funds for the Central Universities under Grants 2242022k60006. Bing Luo is affiliated with Duke Kunshan University. This work was conducted while he was a Visiting Scholar at Peng Cheng Laboratory.; 2024 IEEE International Conference on Communications, ICC 2024 : Scaling the Peaks of Global Communications ; Conference date: 09-06-2024 Through 13-06-2024",

year = "2024",

month = jun,

day = "10",

language = "English",

url = "https://icc2024.ieee-icc.org/, https://icc2024.ieee-icc.org/program",

}

TY - CONF

T1 - Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling

AU - Geng, Jiaxiang

AU - Hou, Yanzhao

AU - Tao, Xiaofeng

AU - Wang, Juncheng

AU - Luo, Bing

N1 - Funding information: This work was supported in part by the Joint Research Fund for Beijing Natural Science Foundation and Haidian Original Innovation under Grant L232001, in part by the National Key R&D Program of China under Grant 2019YFE0114000, in part by the Major Key Project of PCL, in part by the 111 Project of China (No. B16006), and in part by the Fundamental Research Funds for the Central Universities under Grants 2242022k60006. Bing Luo is affiliated with Duke Kunshan University. This work was conducted while he was a Visiting Scholar at Peng Cheng Laboratory.

PY - 2024/6/10

Y1 - 2024/6/10

M3 - Conference paper

T2 - 2024 IEEE International Conference on Communications, ICC 2024

Y2 - 9 June 2024 through 13 June 2024

ER -