2 papers
cs.LG2025
Enhancing Federated Learning Through Secure Cluster-Weighted Client Aggregation
Kanishka Ranaweera, Azadeh Ghari Neiat, Xiao Liu +2
Federated learning (FL) has emerged as a promising paradigm in machine learning, enabling collaborative model training across decentralized devices without the need for raw data sh…
cs.CR2024
Blockchain-Enabled Device-Enhanced Multi-Access Edge Computing in Open Adversarial Environments
Muhammad Islam, Niroshinie Fernando, Seng W. Loke +2
We propose Blockchain-enabled Device-enhanced Multi-access Edge Computing (BdMEC). BdMEC extends the Honeybee framework for on-demand resource pooling with blockchain technology to…