Towards Secure and Efficient Farming Using Self-Regulating Heterogeneous Federated Learning in Dynamic Network Conditions

Towards Secure and Efficient Farming Using Self-Regulating Heterogeneous Federated Learning in Dynamic Network Conditions

The advancement of precision agriculture increasingly depends on innovative technological solutions that optimize resource utilization and minimize environmental impact. This paper introduces a novel heterogeneous federated learning architecture specifically designed for intelligent agricultural sys...

Full description

Saved in:

Bibliographic Details
Main Authors:	Sai Puppala, Koushik Sinha
Format:	Article
Language:	English
Published:	MDPI AG 2025-04-01
Series:	Agriculture
Subjects:	smart farming heterogeneous federated learning dynamic networks artificial intelligence wireless communications
Online Access:	https://www.mdpi.com/2077-0472/15/9/934
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Heterogeneity Challenges of Federated Learning for Future Wireless Communication Networks
by: Lorena Isabel Barona López, et al.
Published: (2025-04-01)

FedMEM: Adaptive Personalized Federated Learning Framework for Heterogeneous Mobile Edge Environments
by: Chen Ximing, et al.
Published: (2025-04-01)

Telemedicine data secure sharing scheme based on heterogeneous federated learning
by: Nansen Wang, et al.
Published: (2024-10-01)

Secure aggregation for semi-decentralized federated learning under heterogeneous data
by: HUANG Mei, et al.
Published: (2025-06-01)

Controlling update distance and enhancing fair trainable prototypes in federated learning under data and model heterogeneity
by: Kangning Yin, et al.
Published: (2025-05-01)

Performance Evaluation of Decentralized Federated Learning: Impact of Fully and K-Connected Topologies, Heterogeneous Computing Resources, and Communication Bandwidth
by: Vo van Truong, et al.
Published: (2025-01-01)

Research into Robust Federated Learning Methods Driven by Heterogeneity Awareness
by: Junhui Song, et al.
Published: (2025-07-01)

Hierarchical Aggregation for Federated Learning in Heterogeneous IoT Scenarios: Enhancing Privacy and Communication Efficiency
by: Chen Qiu, et al.
Published: (2025-01-01)

High-performance federated continual learning algorithm for heterogeneous streaming data
by: Hui JIANG, et al.
Published: (2023-05-01)

High-performance federated continual learning algorithm for heterogeneous streaming data
by: Hui JIANG, et al.
Published: (2023-05-01)

The heterogeneous federated recommendation framework based on adversarial training
by: Suqi Zhang, et al.
Published: (2025-07-01)

A Supernet-Only Framework for Federated Learning in Computationally Heterogeneous Scenarios
by: Yu Chen, et al.
Published: (2025-05-01)

Farm-level greenhouse gas mitigation: Understanding the effect of interactions and heterogeneity
by: Oyinlola Rafiat Ogunpaimo, et al.
Published: (2025-04-01)

FedDBO: A Novel Federated Learning Approach for Communication Cost and Data Heterogeneity Using Dung Beetle Optimizer
by: Dongyan Wang, et al.
Published: (2024-01-01)

Resource Allocation for Federated Learning with Heterogeneous Computing Capability in Cloud–Edge–Client IoT Architecture
by: Xubo Zhang, et al.
Published: (2025-05-01)

Convergence Analysis for Differentially Private Federated Averaging in Heterogeneous Settings
by: Yiwei Li, et al.
Published: (2025-02-01)

Heterogeneity-aware device selection for efficient federated edge learning
by: Yiran Shi, et al.
Published: (2024-01-01)

DFL: Dynamic Federated Split Learning in Heterogeneous IoT
by: Eric Samikwa, et al.
Published: (2024-01-01)

A Remedy for Heterogeneous Data: Clustered Federated Learning with Gradient Trajectory
by: Ruiqi Liu, et al.
Published: (2024-12-01)

FedHSP: A Robust Federated Learning Framework Coherently Addressing Heterogeneity, Security, and Performance Challenges
by: Divya G. Nair, et al.
Published: (2025-01-01)

Fed-Hetero: A Self-Evaluating Federated Learning Framework for Data Heterogeneity
by: Aiswariya Milan Kummaya, et al.
Published: (2025-02-01)

ON-BOARD HETEROGENEOUS INFORMATION COMPUTER NETWORKS OF PERSPECTIVE AIRCRAFT
by: S. V. Kuznetsov
Published: (2019-04-01)

Survey on data heterogeneity problems and personalization based solutions of federated learning in Internet of vehicles
by: LIU Miao, et al.
Published: (2024-10-01)

Toward Efficient Hierarchical Federated Learning Design Over Multi-Hop Wireless Communications Networks
by: Tu Viet Nguyen, et al.
Published: (2022-01-01)

Evaluating the Technical Efficiency of Dairy Farms Under Technological Heterogeneity: Evidence from Lithuania
by: Rūta Savickienė, et al.
Published: (2025-07-01)

Intelligent diagnosis of gearbox in data heterogeneous environments based on federated supervised contrastive learning framework
by: Ruoyang Bai, et al.
Published: (2025-04-01)

Balanced coarse-to-fine federated learning for noisy heterogeneous clients
by: Longfei Han, et al.
Published: (2025-01-01)

Data Quality-Aware Client Selection in Heterogeneous Federated Learning
by: Shinan Song, et al.
Published: (2024-10-01)

Training efficiency optimization algorithm of wireless federated learning based on processor performance and network condition awareness
by: Guohao Pang, et al.
Published: (2024-11-01)

Security Data Aggregation with Recoverable Data in Heterogeneous Wireless Sensor Network
by: Lusheng Shi, et al.
Published: (2013-11-01)

Internet of Things-Based Smart Precision Farming in Soilless Agriculture: Opportunities and Challenges for Global Food Security
by: Monica Dutta, et al.
Published: (2025-01-01)

Client grouping and time-sharing scheduling for asynchronous federated learning in heterogeneous edge computing environment
by: Qianpiao MA, et al.
Published: (2023-11-01)

Federated Learning on Heterogeneous Images in Internet of Biomedical Things
by: Yusen Li, et al.
Published: (2024-12-01)

Equipment Fault Diagnosis Method Based on High-efficient Communication Federated Learning
by: LIU Jing, et al.
Published: (2025-04-01)

A Federated Learning Algorithm That Combines DCScaffold and Differential Privacy for Load Prediction
by: Yong Xiao, et al.
Published: (2025-03-01)

Research on Connectivity of Multi-Type Heterogeneous Wireless Networks
by: Jingyuan Guo, et al.
Published: (2014-03-01)

Towards enhancing security for upcoming 6G-ready smart grids through federated learning and cloud solutions
by: J. Jithish, et al.
Published: (2025-08-01)

A decentralised federated learning scheme for heterogeneous devices in cognitive IoT
by: Huanhuan Ge, et al.
Published: (2024-01-01)

Synergistic Disruption: Harnessing AI and Blockchain for Enhanced Privacy and Security in Federated Learning
by: Sandi Rahmadika, et al.
Published: (2025-04-01)

Federated stochastic gradient averaging ring homomorphism based learning for secure data aggregation in WSN
by: Saravanakumar Pichumani, et al.
Published: (2025-05-01)