IEEE

RLFL: A Reinforcement Learning Aggregation Approach for Hybrid Federated Learning Systems Using Full and Ternary Precision

Abstract: Federated Learning (FL) has emerged as an approach to provide a privacy-preserving and communication-efficient Machine Learning (ML) framework in mobile-edge environments which are likely to ...
IEEE

DRL-Based Joint Aggregation Frequency and Edge Association for Energy-Efficient Hierarchical Federated Learning

Abstract: Hierarchical Federated Learning (HFL) has been proposed to achieve large-scale model training and more efficient communication, surpassing conventional Federated Learning (FL). However, ...
Supply Chain Management Review

Spend aggregation gives way to new approaches in a tariff-driven supply chain

Procurement has always had a clear mandate: aggregate spend, consolidate suppliers, and drive cost savings. And for decades, that strategy worked fine. Category managers were rewarded for bundling ...