Finnish researchers collaborate with Japanese partners to develop an AI assistant for privacy-preserving machine learning. The project aims to minimize the loss of accuracy…
Browsing: Privacy-Preserving
ARPA Network, a blockchain-agnostic Layer-2 computation network, has received a $6 million investment to support product expansion in on-chain gaming, Autonomous Worlds, and cryptographic…
A study compared the performance of a melanoma-nevus classifier developed using classical centralized learning and a federated learning approach. The federated model showed comparable…
This article is about a PhD student in the Software and Computer Systems (SCS) department at KTH who is a Marie-Curie fellow, working on…
Zero-knowledge (ZK) proofs are a cryptographic process in which one party, the prover, may demonstrate to another, the verifier, that a particular statement is…
This article presents a flexible federated learning scheme that allows machine learning researchers to tap into heterogeneously labeled data from multiple institutions and utilize…