3 papers
cs.LG2025
ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs
Daniel Commey, Benjamin Appiah, Griffith S. Klogo +1
Federated Learning (FL) enables collaborative model training on decentralized data without exposing raw data. However, the evaluation phase in FL may leak sensitive information thr…
cs.LG2025
A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning
Daniel Commey, Rebecca A. Sarpong, Griffith S. Klogo +2
Federated learning (FL) enables collaborative model training across decentralized clients while preserving data privacy. However, its open-participation nature exposes it to data-p…
cs.CR2025
Performance Analysis and Deployment Considerations of Post-Quantum Cryptography for Consumer Electronics
Daniel Commey, Benjamin Appiah, Griffith S. Klogo +4
Quantum computing threatens the security foundations of consumer electronics (CE). Preparing the diverse CE ecosystem, particularly resource-constrained devices, for the post-quant…