MobiCom

2024

• 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.

2023

• AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving.

• Efficient Federated Learning for Modern NLP.

• Federated Few-Shot Learning for Mobile NLP.

2022

• 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.