DJAM: Distributed Jacobi Asynchronous Method for Learning Personal Models
DJAM: Distributed Jacobi Asynchronous Method for Learning Personal Models
Processing data collected by a network of agents often boils down to solving an optimization problem. The distributed nature of these problems calls for methods that are, themselves, distributed. While most collaborative learning problems require agents to reach a common (or consensus) model, there are situations in which the consensus …