Consensus Algorithm

Consensus algorithms aim to achieve agreement among distributed agents, enabling collaborative computation and decision-making in various applications. Current research emphasizes developing efficient and robust consensus algorithms for diverse network topologies (including directed and time-varying graphs), handling noisy or adversarial data, and incorporating privacy-preserving mechanisms like differential privacy. These advancements are crucial for improving the performance and reliability of decentralized systems in areas such as federated learning, autonomous vehicle control, and multi-agent robotics, where data privacy and communication efficiency are paramount.