IEEE

Heterogeneous Federated Learning Frameworks for Balancing Job Completion Time and Model Accuracy

Abstract: Federated Learning (FL) is a secure distributed learning paradigm, which enables potentially a large number of devices to collaboratively train a global model based on their local dataset.
Ecommerce Fastlane

SaaS Development Costs in 2026: Real Budgets, Timelines & Honest Answers — Phenomenon Studio

Phenomenon Studio reveals what SaaS, ERP, and digital product development actually costs in 2026. Real project budgets, ...
webtv.un.org

International Conference on Financing for Development opens with a renewed global framework to tackle sustainable development challenges

30 June 2025 - The Fourth International Conference on Financing for Development (FFD4) opened today in Sevilla with the adoption of the Sevilla Commitment or Compromiso de Sevilla, an ...
IEEE

Enterprise-Grade Security for the Model Context Protocol (MCP): Frameworks and Mitigation Strategies

Abstract: The Model Context Protocol (MCP), introduced by Anthropic, provides a standardized framework for artificial intelligence (AI) systems to interact with external data sources and tools in real ...