My former postdoc Lingjuan Lyu has been working with a few research collaborators on a fair and privacy-preserving federated deep-learning framework and a paper describing the framework has just been published at the IEEE Transactions on Parallel and Distributed Systems. Here’s the paper details: Title: Towards Fair and Privacy-Preserving Federated Deep Models Abstract: The current … More Towards Fair and Privacy-Preserving Federated Deep Learning Models
Another day, another paper, this time by my postdoc Lingjuan Lyu and a few collaborators. Here’s the abstract: In privacy-preserving machine learning, individual parties are reluctant to share their sensitive training data due to privacy concerns. Even the trained model parameters or prediction can pose serious privacy leakage. To address these problems, we demonstrate a … More Distributed Privacy-Preserving Prediction
A few ANU colleagues and I have just completed a paper on a suffix-tree-based algorithm for computing the longest common substring of two strings in a privacy-preserving manner. Here’s the abstract: The task of calculating similarities between strings held by different organizations without revealing these strings is an increasingly important problem in areas such as … More Accurate and Efficient Privacy-Preserving String Matching
The Networks scientist Albert-Laszlo Barabasi’s latest book The Formula: The Science Behind Why People Succeed or Fail is a cracker. His six laws of success summarise more than a decade of research into the science of success, in particular how the social network in which we live and operate, with its many kinds of relationships … More The Success Formula
Data Scientists, because of the versatility and range of their skills, can suffer from the paradox of choice when it comes to choosing a career. According to Barry Schwartz, a strategy for good decision-making when there is an abundance of choices will involve these steps, executed in a way that takes careful consideration of all … More What Kind of a Data Scientist Are You?
Apparently, everything that has the word Blockchain attached to it is now news-worthy. Or at least that’s how I think this relatively small R&D collaboration between AUSTRAC and Swinburne University of Technology got a mention a couple of days ago in ZDNet, a pretty respectable technology site that has been around forever. https://www.zdnet.com/article/austrac-trialling-blockchain-to-automate-funds-transfer-instructions/ Coding the … More Legislation as Code
There is a lot of work in the data management community that looks at data quality as a first-class problem, capable of being solved largely as an independent problem that can then benefit many downstream systems. There is certainly a lot going for this line of thinking. My own view, drummed into me by a former NASA scientist who I … More The Data Quality Trap