Compressed Event-Triggered Distributed NE Seeking Algorithm: Efficient Communication and Computation

In this article, researchers propose a new algorithm called ETC-DNES, which combines two existing techniques to improve the efficiency of distributed network formation. The first technique is compression, which reduces the amount of information exchanged between agents. The second technique is event triggering, which only initiates communication when certain conditions are met. By combining these approaches, ETC-DNES can save communication bits and rounds simultaneously, leading to a more efficient process.
To understand how ETC-DNES works, imagine a group of people trying to form a network. Each person represents an agent, and they communicate with each other to create the network. In the past, researchers have tried different techniques to make this process more efficient, such as compressing the information or only triggering communication when certain events occur. However, these approaches have limitations. Compression can lead to lost information, and event triggering can result in unnecessary delays.
ETC-DNES addresses these limitations by combining compression and event triggering in a single algorithm. When an agent wants to communicate with its neighbors, it first compresses the information using a locally computable triggering event. This allows the agent to send only the most important information, reducing the overall communication cost. At the same time, the algorithm only initiates communication when certain conditions are met, such as when the state of an agent’s neighbors has changed significantly. By combining these two approaches, ETC-DNES can save both communication bits and rounds simultaneously, leading to a more efficient process.
In summary, ETC-DNES is a new algorithm that combines compression and event triggering to improve the efficiency of distributed network formation. By reducing the amount of information exchanged between agents and only initiating communication when necessary, ETC-DNES can save time and resources while still maintaining accurate communication. This can be particularly useful in applications where communication is critical, such as in social networks or transportation systems.