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<title>Channels - Federated Learning Approaches in Precision Agriculture: A Systematic Review of Current Trends, Challenges, and Opportunities :: FRELIP Discovery
Channels Federated Learning Approaches in Precision Agriculture: A Systematic Review of Current Trends, Challenges, and Opportunities
A Systematic Review of Prompt Injection Attacks on Large Language Models: Trends, Taxonomy, Evaluation, Defenses, and Opportunities
More Than a Mobile Client: A Systematic Literature Review of Architectures, Applications, and Challenges of UAV-Enabled Federated Learning
Retraction Notice: Deep Learning Approaches for Image Captioning: Opportunities, Challenges and Future Potential
Challenges and opportunities: computational biology and the future of agriculture
FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning
Editorial: Special Section on Challenges and Opportunities in Retrieval-Augmented Generation for LLMs: Techniques, Trends, and Applications
A Systematic Review of Advances, Challenges, and Optimization Strategies in Maintenance Logistics for Airside Operations
Federated Learning for Beam Management in 5G and Beyond: A Collaborative AI/ML Approach
IoT Adoption for Agricultural Transformation in Developing Countries: Challenges and Opportunities - A case of Uganda
DNA methylation as a biomarker of prenatal exposures: current challenges and opportunities
Combining Constraint Programming and Machine Learning: From Current Progress to Future Opportunities
On the Preciseness of Subtyping in Session Types
A Systematic Literature Review of Lattice-Based Key Encapsulation Mechanisms and Digital Signatures: Current Status, Research Gaps, and Future Directions
Intrusion detection using federated learning with neural networks
Sharp Bounds for Sequential Federated Learning on Heterogeneous Data
Assessment of Irrigation Schemes in Ghana: Current Challenges, Emerging Opportunities, and Future Pathways
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
Advancing Engineering Education Through Serious Games: A Systematic Literature Review of Technological Innovation, Challenges, and Future Directions
The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond
A Triad of Defenses to Mitigate Poisoning Attacks in Federated Learning
Challenges and Opportunities in Agricultural Dynamics: A Block-Level Assessment of Nadia District
FL-MEC: FEDERATED LEARNING FOR NETWORK TRAFFIC CLASSIFICATION ON THE NETWORK EDGE
Federated Learning With Dynamic Pruning for Efficient Model Aggregation in Heterogeneous Environments
PAG-FL: Personalization via Adaptive Gradient Filtering in Federated Learning
