Enterprise AI workloads require infrastructure designed for large-scale data processing and distributed computing.
Implementation of Federated Learning Algorithms for Non Independent and Identically Distributed Data
Abstract: Federated Learning (FL) has emerged as a transformative approach for training machine learning models across decentralized data sources while preserving privacy. This study evaluates the ...
Improving distributed system performance through efficient resource utilization, workload balancing, reduced delays, and ...
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