RAPTOR: Role-Aware Private Training for Mixture-of-Experts
This work introduces RAPTOR - a Role-Aware Private Training framework, which alternates shared and expert optimization and targets each failure directly, using expert-specific clipping and noise together with a public expected-owner denominator and a count-independent update schedule that avoids conditioning on private...
Duc Dm, Khai Le-Duc, D. Nguyen et al.
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