Tag: Data Privacy

A new survey systematically examines the compilers that translate ordinary programs into fully homomorphic encryption code, a technology that enables ...

Springer Nature has launched Discover Informatics, a fully open access, peer-reviewed journal aiming to connect informatics research across healthcare, climate ...

Researchers have developed a hypernetwork-based framework that lets continually learning AI systems erase specific tasks without access to the original ...

Researchers at Vanderbilt University have developed a resilient adaptive aggregation method that enables peer-to-peer machine learning networks to reach consensus ...

A new narrative review maps how artificial intelligence, drones, DNA phenotyping and blockchain could transform disaster victim identification while raising ...

A new study introduces auditable update-utility certificates that verifiably measure the value of each client's contribution in personalized federated learning ...

A new systematic survey maps the full landscape of privacy attacks on deep learning and finds that while differential privacy ...

A new federated learning framework called FedEntGate uses entropy-aware dynamic gating and adaptive differential privacy to cut communication overhead by ...

A systematic review of 41 studies reveals that distributed machine learning, led by federated learning, is rapidly reshaping precision agriculture ...

Researchers in Porto systematically showed that an inverse Quantile Graph mapping can generate synthetic time series that preserve marginal distributions ...