Crypto Briefing

Unicity Labs raises $3M to scale autonomous agentic marketplaces

The Unicity Labs team, which previously built and exited Guardtime, a cybersecurity infrastructure company, includes PhD researchers in distributed systems, cryptography, and machine learning. The ...
IEEE

Federated Learning on Heterogeneous and Long-Tailed Data via Disentangled Representation

Abstract: Federated Learning (FL) is a popular distributed machine learning method that enables the development of a robust global model through decentralized computation and periodic model ...
Data Center Frontier

From Lab to Gigawatt: CoreWeave’s ARENA and the AI Validation Imperative

CoreWeave’s ARENA enables production-scale AI workload validation on GPU clusters that mirror live infrastructure, giving enterprises empirical insight into performance, cost ...
Tech Xplore

Study finds 'dosed' nonlinearity can beat linear and fully nonlinear AI

Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and ...

Benchmark of 1.4 million checked protein structures could sharpen AI predictions

University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...

Machine learning helps solve a central problem of quantum chemistry

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
Security Boulevard

NDSS 2025 – SiGuard: Guarding Secure Inference With Post Data Privacy

Membership Inference Authors, Creators & Presenters: Xinqian Wang (RMIT University), Xiaoning Liu (RMIT University), Shangqi ...
Security Boulevard

NDSS 2025 – A Method To Facilitate Membership Inference Attacks In Deep Learning Models

Membership Inference Authors, Creators & Presenters: Zitao Chen (University of British Columbia), Karthik Pattabiraman ...
IEEE

Improved Distributed Backdoor Attacks in Federated Learning by Density-Adaptive Data Poisoning and Projection-Based Gradient Updating

Abstract: While federated learning enables collaborative model training with preserved data locality, it remains vulnerable to evolving backdoor attacks that exploit its distributed architecture.