ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease.
ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity Issues.
LATTE: Layer Algorithm-aware Training Time Estimation for Heterogeneous Federated Learning.
AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving.
Efficient Federated Learning for Modern NLP.
Federated Few-Shot Learning for Mobile NLP.
PyramidFL: a fine-grained client selection framework for efficient federated learning.
FedHD: federated learning with hyperdimensional computing.
NestFL: efficient federated learning through progressive model pruning in heterogeneous edge computing.
Federated learning-based air quality prediction for smart cities using BGRU model.
Last updated 9 months ago