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LMaaS: Exploring Pricing Strategy of Large Model as a Service for Communication
In the first step, we optimize the seller's pricing decision and propose an Iterative Model Pricing (IMP) algorithm that optimizes the prices of large models iteratively by reasoning customers' future rental decisions, which is able to achieve a near-optimal pricing solution.
FedMS: Federated Learning with Mixture of Sparsely Activated Foundations Models
In this paper, we propose a novel two-stage federated learning algorithm called FedMS.
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