federated learning

Federated deep learning and digital-twin optimization for cyber-resilient smart nano grid energy management

Chain-Resilience: A Blockchain-Based Federated Continual Learning Framework for Defending Against Forgetting and Distrust

ADAX-FED: Adaptive and Explainable Federated Learning for Residential Network Load Forecasting

IoT-Based Elderly Health Monitoring Information System with Federated Learning for Early Health Risk Prediction

The increasing elderly population in Indonesia has contributed to a higher prevalence of non-communicable diseases, including hypertension, cardiovascular disease, diabetes mellitus, and chronic obstructive pulmonary disease (COPD). This trend highlights the need for continuous, real-time health monitoring rather than...

FedLR: A federated learning based approach for faster communication in edge environment

A new approach, FedLR, is proposed in this manuscript to remedy the problem of slacker devices, which provides all the benefits of FedAvg while reducing the communication costs between the devices.

PhysGuard-FL: Reproducibility package for physics-aware Byzantine-robust federated learning in chemical process monitoring

Complete research compendium for PhysGuard-FL, a physics-aware Byzantine-robust federated-learning framework evaluated for chemical-process monitoring. The frozen benchmark uses six Tennessee Eastman Process operating modes, 20 federated clients, 20 communication rounds, five local steps, and 10 matched random seeds. T...

Program Matematika Indonesia v0.63.24 - A30, B95, and C140 Modular Adapters

Start learning: Bahasa Indonesia · English interface. Version 0.63.24 preserves reciprocal learner navigation across the complete hosted program surface: every reader links to its course and localized program, every course links to its readers, and hosted copies retain prominent authoritative-original routes. Current l...

Secure federated large language model-enhanced multimodal visual communication framework

Mechanism Design for a Sustainable Federated Session Recommender System

FedPerKD privacy aware personalized federated learning with knowledge distillation for edge oriented tomato leaf disease detection

FedPer-KD, a privacy-aware federated framework that combines personalization with client-side knowledge distillation, is presented, which is effective under mild client heterogeneity, and is edge-oriented for downstream deployment.

Towards Explaining Backdoor Durability in Federated Learning via Influence Functions

QSplitFL: Capability Aware Deep Q-Learning for Optimal Split Point Selection in Split Federated Learning