Distributed algorithms for graph problems represent a vibrant area of study that addresses the challenges of decentralised computation across interconnected networks. By partitioning complex graph ...
Distributed systems comprise a network of independent computing nodes that collaborate to achieve shared objectives despite challenges such as network latency, asynchrony and process failures. At the ...
“Abstract—Large-scale distributed deep learning training has enabled developments of more complex deep neural network models to learn from larger datasets for sophisticated tasks. In particular, ...
Photonic’s QRE Advances Quantum Benchmarking by Demonstrating the True Cost of Scaling a Distributed Fault-Tolerant Quantum ...
Big data for health care is one of the potential solutions to deal with the numerous challenges of health care, such as rising cost, aging population, precision medicine, universal health coverage, ...
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