How Fed-Focal Loss addresses one of the most challenging problems in distributed machine learning: handling imbalanced data across federated clients.
As generative AI transforms content creation, we need new frameworks that respect copyright while enabling innovation. Here's how we can build them.
Exploring Maximal Extractable Value (MEV) in Ethereum and why we need better mechanisms for fair value distribution across the ecosystem.
Why Decentralized Physical Infrastructure Networks (DePIN) represent a fundamental shift in how we build and own critical infrastructure.
As deepfake technology becomes more sophisticated, centralized detection approaches are failing. Here's why we need decentralized solutions.