UbiComp

2023

• Client Clustering for Energy-Efficient Clustered Federated Learning in Wireless Networks.

• Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt.

• Inflorescence: A Framework for Evaluating Fairness with Clustered Federated Learning.

• Personalized Federated Human Activity Recognition through Semi-supervised Learning and Enhanced Representation.

2022

• Federated Capsule Graph Neural Network with Personalization.

2021

• On the Performance Impact of Poisoning Attacks on Load Forecasting in Federated Learning.

• Differentially Private Federated Learningfor Anomaly Detection in eHealth Networks.