Open access
Aug 2026
TeleZK-FL: enabling trustless and verifiable remote patient monitoring via quantized zero-knowledge federated learning
TeleZK-FL establishes the feasibility of verifiable, trustless federated learning on commodity telehealth hardware by eliminating the computational bottlenecks of server-side proof generation while incurring only 0.1%–0.3% AUC degradation.
P. Jayaraman, R. Delhibabu
· Frontiers in Digital Health · 0 citations