Decentralized computing technology refers to a system where computational tasks are distributed across multiple devices or nodes, rather than relying on a single central server. This approach enhances resilience, security, and scalability by eliminating a single point of failure. In decentralized systems, data and processing power are shared among participants, often using peer-to-peer networks. Blockchain, for instance, is a prime example, powering cryptocurrencies like Bitcoin, where transactions are verified by a network of users instead of a central authority. Other applications include decentralized cloud storage and distributed computing projects like Folding@home. By spreading control and resources, this technology reduces dependency on large corporations, boosts privacy, and fosters innovation. However, it can face challenges like slower consensus mechanisms and higher energy consumption in some cases.