Copertina

Enhancing Smart Farming Through Federated Learning: A Secure, Scalable, and Efficient Approach for AI-Driven Agriculture

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Janga, Ritesh, Dave, Rushit
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Enhancing Federated Learning Through Secure Cluster-Weighted Client Aggregation
di: Ranaweera, Kanishka, et al.
Pubblicazione: (2025)

MLtoGAI: Semantic Web based with Machine Learning for Enhanced Disease Prediction and Personalized Recommendations using Generative AI
di: Dongre, Shyam, et al.
Pubblicazione: (2024)

Efficient Training of Large-Scale AI Models Through Federated Mixture-of-Experts: A System-Level Approach
di: Chen, Xiaobing, et al.
Pubblicazione: (2025)

Trust and Resilience in Federated Learning Through Smart Contracts Enabled Decentralized Systems
di: Cassano, Lorenzo, et al.
Pubblicazione: (2024)

Smart Water Security with AI and Blockchain-Enhanced Digital Twins
di: Homaei, Mohammadhossein, et al.
Pubblicazione: (2025)

Imitation Learning via Focused Satisficing
di: Shah, Rushit N., et al.
Pubblicazione: (2025)

LLMs meet Federated Learning for Scalable and Secure IoT Management
di: Otoum, Yazan, et al.
Pubblicazione: (2025)

Towards Intelligent Energy Security: A Unified Spatio-Temporal and Graph Learning Framework for Scalable Electricity Theft Detection in Smart Grids
di: Olowookere, AbdulQoyum A., et al.
Pubblicazione: (2026)

Edge-AI-Driven Learning-to-Rank for Decentralized Task Allocation in Circular Smart Manufacturing
di: Ghahramani, Mohammadhossein, et al.
Pubblicazione: (2026)

Hierarchical Federated Learning for Crop Yield Prediction in Smart Agricultural Production Systems
di: Abouaomar, Anas, et al.
Pubblicazione: (2025)

From Clicks to Security: Investigating Continuous Authentication via Mouse Dynamics
di: Dave, Rushit, et al.
Pubblicazione: (2024)

Federated Learning with Differential Privacy: An Utility-Enhanced Approach
di: Ranaweera, Kanishka, et al.
Pubblicazione: (2025)

Information Fusion in Smart Agriculture: Machine Learning Applications and Future Research Directions
di: Katharria, Aashu, et al.
Pubblicazione: (2024)

A Reinforcement Learning Approach to Dairy Farm Battery Management using Q Learning
di: Ali, Nawazish, et al.
Pubblicazione: (2024)

Enhancing Convergence in Federated Learning: A Contribution-Aware Asynchronous Approach
di: Xu, Changxin, et al.
Pubblicazione: (2024)

VLLFL: A Vision-Language Model Based Lightweight Federated Learning Framework for Smart Agriculture
di: Li, Long, et al.
Pubblicazione: (2025)

From Alignment to Prediction: A Study of Self-Supervised Learning and Predictive Representation Learning
di: Dutta, Mintu, et al.
Pubblicazione: (2026)

Single-Round Scalable Analytic Federated Learning
di: Bacellar, Alan T. L., et al.
Pubblicazione: (2025)

EVMbench: Evaluating AI Agents on Smart Contract Security
di: Wang, Justin, et al.
Pubblicazione: (2026)

CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning
di: Zhang, Pengyu, et al.
Pubblicazione: (2023)

Fine-Tuning and Evaluating Conversational AI for Agricultural Advisory
di: Singh, Sanyam, et al.
Pubblicazione: (2026)

A Secure and Private Distributed Bayesian Federated Learning Design
di: Yang, Nuocheng, et al.
Pubblicazione: (2026)

A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks
di: Koursioumpas, Nikolaos, et al.
Pubblicazione: (2023)

FedGRec: Dynamic Spatio-Temporal Federated Graph Learning for Secure and Efficient Cross-Border Recommendations
di: Tan, Zhizhong, et al.
Pubblicazione: (2025)

An Explainable AI based approach for Monitoring Animal Health
di: Jana, Rahul, et al.
Pubblicazione: (2025)

An Efficient Unsupervised Federated Learning Approach for Anomaly Detection in Heterogeneous IoT Networks
di: Tajgardan, Mohsen, et al.
Pubblicazione: (2026)

Byzantine-Robust Aggregation for Securing Decentralized Federated Learning
di: Cajaraville-Aboy, Diego, et al.
Pubblicazione: (2024)

Enhancing IoT Security Against DDoS Attacks through Federated Learning
di: Shirvani, Ghazaleh, et al.
Pubblicazione: (2024)

FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated Learning
di: Nguyen, Duy Phuong, et al.
Pubblicazione: (2024)

A Deep Reinforcement Learning Approach to Battery Management in Dairy Farming via Proximal Policy Optimization
di: Ali, Nawazish, et al.
Pubblicazione: (2024)

Machine Learning for ALSFRS-R Score Prediction: Making Sense of the Sensor Data
di: Mehta, Ritesh, et al.
Pubblicazione: (2024)

FedKDX: Federated Learning with Negative Knowledge Distillation for Enhanced Healthcare AI Systems
di: Pham, Quang-Tu, et al.
Pubblicazione: (2026)

Redefining Contributions: Shapley-Driven Federated Learning
di: Tastan, Nurbek, et al.
Pubblicazione: (2024)

Coding-Enforced Resilient and Secure Aggregation for Hierarchical Federated Learning
di: Weng, Shudi, et al.
Pubblicazione: (2026)

Agricultural Recommendation System based on Deep Learning: A Multivariate Weather Forecasting Approach
di: Zubair, Md, et al.
Pubblicazione: (2024)

The Achilles Heel of AI: Fundamentals of Risk-Aware Training Data for High-Consequence Models
di: Cook, Dave, et al.
Pubblicazione: (2025)

AI-Driven Predictive Analytics Approach for Early Prognosis of Chronic Kidney Disease Using Ensemble Learning and Explainable AI
di: Jawad, K M Tawsik, et al.
Pubblicazione: (2024)

Principled Approximation Methods for Efficient and Scalable Deep Learning
di: Savarese, Pedro
Pubblicazione: (2025)

Over-the-Air Federated Learning: Rethinking Edge AI Through Signal Processing
di: Azimi-Abarghouyi, Seyed Mohammad, et al.
Pubblicazione: (2025)

SmartFlow Reinforcement Learning and Agentic AI for Bike-Sharing Optimisation
di: K, Aditya Sreevatsa, et al.
Pubblicazione: (2025)