Message Passing

Message passing is a communication method used in distributed systems where processes or objects communicate with each other by sending and receiving messages. In the context of data science and artificial intelligence, message passing is used in various applications such as parallel computing, graph-based algorithms, and neural networks. In parallel computing, message passing is used to exchange data between different processors or nodes in a distributed system. In graph-based algorithms, message passing is used to propagate information between nodes in a graph, which is useful in tasks such as clustering, classification, and recommendation systems. In neural networks, message passing is used to propagate information between neurons, which is essential for training and inference. Message passing can be implemented using various protocols such as MPI, RPC, and HTTP.
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