IEEE

EFLSS: An Efficient Federated Learning Security Scheme in Byzantine Attack Scenarios

Abstract: Federated Learning (FL), a distributed machine learning approach, aims to protect user privacy by performing model training without centralized data collection. However, FL systems are ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
IEEE

Efficient Privacy-Preserving Threshold Private Set Intersection in Cross-Domain Federated ...

Abstract: Cross-domain federated learning (FL), as an emerging paradigm of distributed machine learning, enables collaborative training across multiple parties while preserving data privacy. However, ...