WebMD1d
Forever Chemicals Are Everywhere. Here’s How to Stress Less
Forever chemicals, PFAS (per- and poly-fluoroalkyl substances), endocrine disruptors, microplastics: These modern-day pollutants and man-made chemicals designed for durability are seemingly everywhere ...
IEEE11d
Communication-Adaptive-Gradient Sparsification for Federated Learning With Error Compensation
Abstract: Federated learning (FL) has emerged as a popular distributed machine-learning paradigm. It involves many rounds of iterative communication between nodes to exchange model parameters. With ...
InfoWorld22d
Federated learning: The killer use case for generative AI
That all changed when they adopted federated learning. Federated learning is ... and upper-level management positions in Fortune 100 companies. He keynotes leading technology conferences on ...
GitHub24d
APPFL - Advanced Privacy-Preserving Federated Learning Framework.
APPFL, Advanced Privacy-Preserving Federated Learning, is an open-source and highly extensible software framework that allows research communities to implement, test ...
Mint28d
L&T report hailing ‘mandatory annual leave, stress management’ in focus amid fury over ‘90-hour work week’
Annual reports from the company have now come into focus for their emphasis on ‘prioritising stress management’ and maintaining a healthy work-life balance. “How long can you stare at your wife?
Harvard Business Review29d
Connect Your Learning Programs to Your Company’s Strategy
These days businesses are facing more change than ever. And the strongest predictor of whether a company can transform in the face of change is its ability to hire, develop, and retain the ...
TechNode1mon
CES 2025: Ling.ai debuts child-focused AI learning companion
Ling.ai, an AI startup, made its global debut at CES 2025 with Ling!, a portable AI learning companion designed for children aged 3 to 12. The device combines learning, companionship, and growth ...
IEEE1mon
UEFL: Universal and Efficient Privacy-Preserving Federated Learning
Abstract: Federated Learning (FL) is a distributed machine learning framework that allows for model training across multiple clients without requiring access to their local data. However, FL poses ...