TEVA: Training-Efficient and Verifiable Aggregation for Federated Learning for Consumer Electronics in Industry 5.0
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DOI: 10.1109/tce.2024.3517739
Abstract: Federated learning (FL) has been widely used for privacy-preserving model updates in Industry 5.0, facilitated by 6G networks. Despite FL’s privacy-preserving advantages, it remains vulnerable to attacks where adversaries can infer private data from local… read more here.
Keywords: verifiable aggregation; privacy; training efficient; federated learning ... See more keywords