Abstract: Federated Learning (FL) is a collaborative machine learning (ML) framework that combines on-device training and server-based aggregation to train a common ML model among distributed agents.
Abstract: Existing aggregation methods for large-scale data center power systems often overlook disparities in power supply units, leading to reduced accuracy in the small signal dynamics of ...
Core Java – Daily Learning: A hands-on, daily-updated repository with practical Java programs on patterns, functions, arrays, OOP, and mini projects. Ideal for beginners and learners to practice, ...
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