[HTML][HTML] Small models, big impact: A review on the power of lightweight Federated Learning
Abstract Federated Learning (FL) enhances Artificial Intelligence (AI) applications by
enabling individual devices to collaboratively learn shared models without uploading local …
enabling individual devices to collaboratively learn shared models without uploading local …
[HTML][HTML] Deep reinforcement learning-based scheduling for optimizing system load and response time in edge and fog computing environments
Edge/fog computing, as a distributed computing paradigm, satisfies the low-latency
requirements of ever-increasing number of IoT applications and has become the …
requirements of ever-increasing number of IoT applications and has become the …
Federated Learning Architectures: A Performance Evaluation with Crop Yield Prediction Application
A Mukherjee, R Buyya - arXiv preprint arXiv:2408.02998, 2024 - arxiv.org
Federated learning has become an emerging technology for data analysis for IoT
applications. This paper implements centralized and decentralized federated learning …
applications. This paper implements centralized and decentralized federated learning …
Deep Reinforcement Learning-based Scheduling in Edge and Fog Computing Environments
Edge/fog computing, as a distributed computing paradigm, satisfies the low-latency
requirements of ever-increasing number of IoT applications and has become the …
requirements of ever-increasing number of IoT applications and has become the …
Intelligent Load Migration Using Federated Learning in Intelligent Manufacturing
A Thakur, N Sindhwani - Intelligent Manufacturing and Industry 4.0, 2025 - taylorfrancis.com
This chapter explores the integration of federated learning (FL) into intelligent manufacturing
within the context of Industry 4.0, focusing on enhancing data privacy, system efficiency, and …
within the context of Industry 4.0, focusing on enhancing data privacy, system efficiency, and …
Enhancing Security and Efficiency: A Lightweight Federated Learning Approach
C Chen, KIK Wang, P Li, K Sakurai - International Conference on …, 2024 - Springer
Recently, as big data and AI technology advance, data privacy and security are increasingly
critical. Federated Learning (FL) has become a key solution in machine learning to address …
critical. Federated Learning (FL) has become a key solution in machine learning to address …