Nature

Reusability report: A distributed strategy for solving combinatorial optimization problems with hypergraph neural networks

Combinatorial optimization problems (COPs) encompass a class of problems that are aimed at finding optimal or near-optimal solutions within a finite solution space and that are prevalent in both ...
Nature

Core network traffic prediction based on vertical federated learning and split learning

In recent years, network traffic has witnessed a significant surge, propelled by the rapid proliferation of diverse network paradigms such as 5G/6G, Internet of Things (IoT), and Industrial Internet, ...
SDxCentral

Google unveils way to train AI models across distributed data centers

Google DeepMind unveiled a way to train advanced AI models across distributed data centers. Known as decoupled distributed low-communication (DiLoCo), the architecture isolates local disruptions such ...
Geeky Gadgets

Unsloth : The Secret Weapon for Faster Machine Learning Models

What if you could train massive machine learning models in half the time without compromising performance? For researchers and developers tackling the ever-growing complexity of AI, this isn’t just a ...