If the receiver of an anonymous message is taken to be the adversary, then their best guess from a set of candidate senders ...

In this paper, we propose a versatile graph inference framework for learning from graph signals corrupted by exponential family noise. Our framework generalizes previous methods from continuous smooth ...

Lipschitz extensions were proposed as a tool for designing differentially private algorithms for approximating graph statistics. However, efficiently computable Lipschitz extensions were known only ...

Learn about and revise ratio, proportion and rates of change with this BBC Bitesize GCSE Maths Edexcel study guide.

code for "Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence" ...