Accelerating Optimization and Machine Learning through Decentralization

ArXi:2604.19518v1 Announce Type: new Decentralized optimization enables multiple devices to data to leave individual users' devices, it enhances privacy and scalability compared to conventional centralized learning, where all data has to be aggregated to a central server. However, decentralized optimization has traditionally been viewed as a necessary compromise, used only when centralized processing is impractical due to communication constraints or data privacy concerns.