Energy-efficient federated deep learning for edge-based image recognition in resource-constrained IoT environments

Communication-efficient federated learning for edge IoT via combined quantization and sparsification

This paper implements a practical, communication-efficient FL framework that combines update quantization with top-k sparsification with error feedback and evaluates its performance under realistic edge conditions, and provides reproducible MATLAB code and result artifacts.

Semantic Communication Enabled Lightweight Deep Learning Framework for Adaptive Image Transmission in Resource Constrained Iot Networks

The rapid development of Internet of Things (IoT) applications puts forward demands on efficient image transmission under the constraints of limited bandwidth, energy, and computation. Existing deep joint source-channel coding schemes and traditional sourcechannel coding schemes usually suffer from high complexity and...

Evolutionary Feature Reduction and Edge-Optimized CNN Inference for Large-Scale IoT DDoS Detection

The proposed evolutionary feature reduction and edge-optimized CNN framework provides an effective and deployment-ready solution for real-time large-scale IoT DDoS detection, making it suitable for practical intrusion detection deployment in production IoT gateway environments.

A Federated Deep Learning Framework for Privacy-Preserving IoT-Based Healthcare Monitoring Systems

The results show that the suggested federated strategy can reduce per-round communication volume by an order of magnitude, eliminate the need to transmit raw sensor data, and approach centralized-training accuracy within a narrow margin.

EA-AQF: energy aware adaptive quantization and freezing in federated learning

Energy-Aware Adaptive Quantization and Freezing (EA-AQF), a unified framework that co-optimizes communication and computation, is presented, a unified framework that co-optimizes communication and computation and maintains robust convergence in highly heterogeneous tasks.

AI-Native Deep Learning Framework for Ultra-Reliable Low-Latency IoT Networks with Federated Edge Intelligence