A Unified Lightweight Benchmark for Privacy-Preserving Federated Learning in Cyber-Physical Systems (Fashion-MNIST Case Study)

Brice Ockman, Daniel Commey, Garth V. Crosby. A Unified Lightweight Benchmark for Privacy-Preserving Federated Learning in Cyber-Physical Systems (Fashion-MNIST Case Study). In 23rd Consumer Communications & Networking Conference, CCNC 2026, Las Vegas, NV, USA, January 9-12, 2026. pages 1-6, IEEE, 2026. [doi]

Abstract

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