<![CDATA[The rapid growth of global cloud based broadcasting systems has increased the demand for efficient data processing and low latency content delivery. However, many community based broadcasting initiatives still rely on centralized cloud infrastructures, which often cause latency issues, limited scalability, and high bandwidth consumption. In the context of community digital empowerment, integrating decentralized edge computing frameworks offers an opportunity to improve broadcasting performance while strengthening community technological capacity. This community service research aims to design and implement a decentralized edge computing framework to support global cloud-based broadcasting systems while enhancing community understanding and utilization of distributed computing technologies. Program applied a participatory community service approach consisting of needs assessment, system design, training workshops, and implementation. Community participants and local digital media practitioners were introduced to decentralized edge computing concepts, followed by hands on training in deploying edge nodes and integrating them with cloud broadcasting platforms. Implementation demonstrated improved broadcasting efficiency with reduced latency and optimized bandwidth utilization. Participants also showed increased technical competence in managing decentralized infrastructure and operating cloud assisted broadcasting services. Decentralized edge computing framework effectively supports scalable broadcasting systems while empowering communities with practical digital infrastructure skills. This approach contributes to sustainable digital transformation and pro- vides a replicable model for community-based broadcasting development.]]>
