Asadullah Tariq

DHFL: Decentralized Hierarchical Federated Learning With Dynamic Global Aggregation for Privacy-Aware Fog Computing

2025 · IEEE Transactions on Consumer Electronics

Federated Learning represents a promising paradigm for distributed machine learning while guaranteeing privacy. However, traditional FL frameworks face challenges like poor communication latencies, dependency on the availability of the centralized servers, and inefficient handling of …