Abstract: This paper investigates the problem of boundary control for parabolic PDE-ODE cascade systems with distributed connections. A novel sampled-data boundary controller is proposed, and a new ...
GridGain donated the original Ignite code to The Apache Software Foundation (ASF) in 2014. GridGain is a Bronze Sponsor of the ASF, with several members of the GridGain team serving as active ...
Objective: This study provides a comprehensive threat analysis of data poisoning vulnerabilities across major health care AI architectures. The goals are to (1) identify attack surfaces in clinical AI ...
Secure your MCP deployments with zero-trust architecture. Learn about post-quantum encryption, context-aware access, and threat detection for distributed AI.
New workload demands are turning data handling into a system-level design challenge rather than a back-end afterthought.
The evolution of artificial intelligence, data engineering, and enterprise systems is no longer driven by isolated breakthroughs. It is shaped by practitioners who build, scale, and govern technology ...
Microfactories are not just smaller replicas of mega-factories. They operate with radically different assumptions. Data is ...
AI does not typically fail because it lacks intelligence. It fails because many enterprises have an architecture that is ...
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 ...
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