Communication-Efficient Federated Learning for Resource-Constrained Edge Devices

Author:

Lan Guangchen1ORCID,Liu Xiao-Yang1ORCID,Zhang Yijing1,Wang Xiaodong1ORCID

Affiliation:

1. Department of Electrical Engineering, Columbia University, New York, NY, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference61 articles.

1. Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data

2. ADADELTA: An adaptive learning rate method;zeiler;arXiv 1212 5701,2012

3. Deep gradient compression: Reducing the communication bandwidth for distributed training;lin;Proc Int Conf Learn Represent,2018

4. On the unreasonable effectiveness of federated averaging with heterogeneous data;wang;arXiv 2206 04723,2022

5. QSGD: Communication-efficient SGD via gradient quantization and encoding;alistarh;Proc 31st Conf Neural Inf Process Syst (NIPS),2017

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