Federated Learning for Smart Agriculture: Challenges and Opportunities

Author:

Kondaveeti Hari Kishan1,Sai Guduru Balamanikanta1,Athar Shaik Asneem1,Vatsavayi Valli Kumari2,Mitra Alakananda3,Ananthachari Preethi4

Affiliation:

1. School of Computer Science and Engineering, VIT-AP University,Andhra Pradesh,India

2. AUCE(A) Andhra University,Department of CS & SE,Andhra Pradesh,India

3. University of Nebraska-Lincoln,Nebraska Water Center,Lincoln,Nebraska,USA

4. Endicott College of International Studies, Woosong University,AI & BigData Dept,Daejeon,South Korea

Publisher

IEEE

Reference39 articles.

1. Everything you wanted to know about smart agriculture;Mitra;arXiv preprint,2022

2. A Survey on the Role of IoT in Agriculture for the Implementation of Smart Farming

3. Federated learning: Opportunities and challenges;Mammen;arXiv preprint,2021

4. FELIDS: Federated learning-based intrusion detection system for agricultural Internet of Things

5. Communication-efficient learning of deep networks from decentralized data;McMahan,2017

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