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: Machine Learning (ML) has become a cornerstone in numerous applications, creating the need for secure and efficient distributed ML frameworks. However, maintaining data privacy in these ...
Artificial intelligence (AI) is no longer confined to centralized data centers. It is increasingly distributed across edge devices, enterprises, multiple cloud providers, and autonomous software ...
Elevate Your Marketing Game with the Agentic Marketing Mastermind New York, United States - March 17, 2026 / Search ...
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