Zhonghao Dong

A federated learning-enhanced sharded blockchain framework for privacy-enhanced authentication in IoT E-learning systems

The proposed framework incorporates shard-based transaction processing, Byzantine fault tolerant (PBFT) consensus, resilient federated aggregation, and AES-GCM-encrypted model updates and demonstrated higher throughput and lower authentication latency under the evaluated workloads.