DDP: THE EXPLANATION TO DECENTRALIZED PROCESSING

Distributed Data Parallelism (Distributed Parallel Training, often abbreviated as DDp) represents a powerful technique for scaling deep learning model training across several devices, like GPUs or machines. This approach involves replicating the entire model onto each worker and then splitting th