OPAD Nodes

Nodes are part of the verification layer. They are intentionally designed to prioritize privacy, lightweight (less than 1MB per month), and operate effectively even with sporadic activity. They facilitate global connectivity and are essential for maintaining the availability of computational resources.

By utilizing OPAD Nodes, you become an integral component of a widespread connectivity framework, which is fundamental to our vision of an open and ubiquitous computing infrastructure.

• Node Incentive Mechanism

  1. During each round of training, the system will store the verification results returned by the verification device, the number of samples uploaded by the training device, and the training time of the device in the block.

  2. After a round of global model aggregation, the system will read the data saved on the block, calculate the reward of each training device according to the incentive mechanism, and send it to each local device.

  3. The incentive mechanism gives corresponding rewards or punishments according to the contribution of local devices to model training. During the federated learning process, in order to ensure that the verification devices can give honest reports, their verification results can be re-verified by other devices, and dishonest validation behaviors will be punished.

  4. At the same time, in order to improve the fairness of reward distribution, the system will allocate the training fee according to the size of contribution made by each training device.