A Communication Efficient Approach of Global Training in Federated Learning

Author:

Bhatti Dost Muhammad Saqib1,Haris Muhammad1,Nam Haewoon1

Affiliation:

1. Hanyang University,Department of Electrical and Electronic Engineering,Ansan,South Korea

Funder

National Research Foundation of Korea

Publisher

IEEE

Reference20 articles.

1. Federated optimization: Distributed optimization beyond the datacenter;konecny;CoRR,2015

2. FEDAUX: Leveraging Unlabeled Auxiliary Data in Federated Learning

3. Soft Cooperative Spectrum Sensing Performance Under Imperfect and Non Identical Reporting Channels

4. Federated learning with non-iid data;zhao;CoRR,2018

5. Communication-efficient on-device machine learning: Federated distillation and augmentation under non-iid private data;jeong;CoRR,2018

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Robust Aggregation Approach for Heterogeneous Federated Learning;2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN);2023-07-04

2. FedCLS: Class-Aware Federated Learning in a Heterogeneous Environment;IEEE Transactions on Network and Service Management;2023-06

3. A Performance Efficient Approach of Global Training in Federated Learning;2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC);2023-02-20

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