Abstract: Hierarchical Federated Learning (HFL) has emerged as a promising paradigm for distributed machine learning in edge computing environments. By introducing intermediate edge servers between ...
Abstract: In hierarchical federated learning, client selection is typically performed at edge servers and the central server. Edge servers perform intermediate model aggregation before transmitting ...
From lens focal lengths and fill-flash to portraits, macro or stunning landscapes there are techniques for everyone. Learn how to use metering, considering composition and shoot everything from ...
A comprehensive full-stack development learning resource covering programming languages, frameworks, databases, system architecture, and data structures, with practical code examples and detailed ...
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