Advances in Machine Learning & Artificial Intelligence(AMLAI)

Zetta Software Tlc Shpk, Albania

Publications

• Research Article   
  Federated Learning Explained for Business Leaders: Strategic Foundations for Regulated Industries
  Author(s): Fabrizio Benelli, Redvin Marku and Franco Maciariello*
  
  The increasing restrictions surrounding the use and movement of data across organizations, sectors and jurisdictions are fundamentally reshaping how advanced AI can be designed and deployed within regulated environments such as energy infrastructures, healthcare ecosystems and financial systems. For more than a decade, dominant AI architectures have relied on centralized data aggregation to feed large-scale machine learning algorithms, assuming that raw data could be transferred to secure environments and processed in bulk. This assumption is rapidly becoming untenable. The tightening of privacy rules, the reinforcement of national and sectorial security constraints, and the growing ethical awareness around human autonomy and data ownership are together limiting traditional data-driven strategies and demanding new approaches grounded in privacy-preserving AI, distributed AI and digita.. Read More»
  

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