4 citations · 4 across the 2 of their papers we have counts for
3 papers
Source Inference Attacks in Federated Learning
Hongsheng Hu, Zoran Salcic, Lichao Sun +2
Federated learning (FL) has emerged as a promising privacy-aware paradigm that allows multiple clients to jointly train a model without sharing their private data. Recently, many s…
Recurring Concept Meta-learning for Evolving Data Streams
Robert Anderson, Yun Sing Koh, Gillian Dobbie +1
When concept drift is detected during classification in a data stream, a common remedy is to retrain a framework's classifier. However, this loses useful information if the classif…
A Review of Privacy and Consent Management in Healthcare: A Focus on Emerging Data Sources
Muhammad Rizwan Asghar, TzeHowe Lee, Mirza Mansoor Baig +3
The emergence of New Data Sources (NDS) in healthcare is revolutionising traditional electronic health records in terms of data availability, storage, and access. Increasingly, cli…