A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract)

Anshul Ahuja, Geetesh Gupta, Suman Kundu

AAAI 2021 pp. 15747-15748

doi:10.1609/AAAI.V35I18.17870 /aaai/2021/ahuja2021aaai-serverless/

Abstract

The paper proposes a Serverless and Mobile relay based architecture for a highly scalable Federated Learning system for low power IoT and Edge Devices. The aim is an easily deployable infrastructure on a public cloud platform by the end user and democratize the use of federated learning.

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Cite

Text

Ahuja et al. "A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract)." AAAI Conference on Artificial Intelligence, 2021. doi:10.1609/AAAI.V35I18.17870

Markdown

[Ahuja et al. "A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract)." AAAI Conference on Artificial Intelligence, 2021.](https://mlanthology.org/aaai/2021/ahuja2021aaai-serverless/) doi:10.1609/AAAI.V35I18.17870

BibTeX

@inproceedings{ahuja2021aaai-serverless,
  title     = {{A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract)}},
  author    = {Ahuja, Anshul and Gupta, Geetesh and Kundu, Suman},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2021},
  pages     = {15747-15748},
  doi       = {10.1609/AAAI.V35I18.17870},
  url       = {https://mlanthology.org/aaai/2021/ahuja2021aaai-serverless/}
}