Develop reputation systems through [[BABE+GRANDPA|Substrate's staking and slashing mechanisms]] and anomaly detection to identify and mitigate collusion, ensuring trust in collaborative training [101]. These mechanisms track participant behavior and flag suspicious activities, such as coordinated attempts to manipulate the model, ensuring that the federated learning process remains fair and secure, which is crucial for maintaining participant trust in a decentralized system coordinated through [[Proof Pods in the Data Marketplace|Substrate's off-chain workers]]. See also: [[ZKP/Research/Advanced Federated Learning/Example Application|Example Application]]