Federated Learning (FL) has gained significant attention as a novel distributed machine learning paradigm that enables collaborative model training while preserving data privacy. However, traditional ...

Researchers at Beihang University, in collaboration with the Beijing Zhongguancun Laboratory, have developed a new defense strategy called Long-Short Historical Gradient Federated Learning (LSH-FL), ...

Let’s imagine a fictional company, Global Retail Corporation, a multinational retail chain struggling with its initial approach to AI integration. They built custom generative AI applications on their ...

At DevSparks 2026 in Pune, Gaurav Tripathi, Co-founder and Group CTO at Partex.AI, shared how federated learning, knowledge ...

Each year, cyberattacks become more frequent and data breaches become more expensive. Whether companies seek to protect their AI system during development or use their algorithm to improve their ...