View Motivating Workers In Federated Learning A Stackelberg Game Perspective US

View Motivating Workers In Federated Learning A Stackelberg Game Perspective US. Motivating workers in federated learning: In this paper, we have presented a stackelberg game model to analyze the cpu allocation strategies of multiple workers as well as the budget allocation of the model owner in a synchronous sgd run by the model owner.

Motivating Workers In Federated Learning A Stackelberg Game Perspective Deepai
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Based on daniel pink's classic book drive. Our numerical results indicate that with a limited budget, the model owner should judiciously decide on the number of workers due to trade off between the diversity provided by the number of workers and the latency of completing the. Extra resources on motivating students to learn.

Performance analysis of the stackelberg federated learning game model.

Learning is identified with ability responsible for the acquisition of experience. Active listening is a skill that will help you understand and learn from others and respond correctly to what they are telling you. This is not the case in quantity competition. Our numerical results indicate that with a limited budget, the model owner should judiciously decide on the number of workers due to trade off between the diversity provided by the number of workers and the latency of completing the.