Adaptive Aggregation For Federated Learning
- 2022
- Big Data 2022
Bio
Mark manages the AI Security & Privacy team in the Dublin Research Lab. The research topics for the team are AI Security (which focuses on the robustness of AI models), Privacy Enhancing Technologies (de-identification, risk assessment, Differential Privacy) and Federated Learning (with a specific focus on security and privacy in FL). Over a career spanning 30 years, Mark has researched solutions for several industries, including: Financial Services (HPC), Marine Environmental (IoT) and Smarter Cities. In more recent years, Mark's research focused on the intersection of Analytics/AI with modern cloud technologies.
Publications
Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data
- 2022
- Big Data 2022
GOFLEX: Extracting, Aggregating and Trading Flexibility based on FlexOffers for 500+ Prosumers in 3 European cities [Operational Systems Paper]
- 2022
- e-Energy 2022
Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach
- 2022
- arXiv
Knowledge- And Data-driven Services for Energy Systems using Graph Neural Networks
- 2020
- Big Data 2020
Power Saving Proxies for Web Servers
- 2019
- Computer Journal
AI modelling and time-series forecasting systems for trading energy flexibility in distribution grids
- 2019
- e-Energy 2019
Castor: Contextual IoT time series data and model management at scale
- 2018
- ICDM 2018
A vector-sensor based approach to noise monitoring in Galway Bay
- 2014
- OCEANS 2014
Patents
Selecting Forecasting Models By Machine Learning Based On Analysis Of Model Robustness
- 17 Oct 2022
- US
- 11475332
Methods And Systems For Aquatic Infrastructure Recharge And Data Transfer
- 03 Dec 2018
- US
- 10148303
Projects
Federated systems
- Data and AI Security
- Adversarial Robustness and Privacy
- Foundation Models
Privacy enhancing technologies for regulatory compliance
- Data and AI Security
Top collaborators
AR
Ambrish Rawat
Staff Research Scientist, AI Security and Privacy, Master Inventor
DS
Dhaval Salwala
Research Engineer | ML and Extreme Scale Computing
ST
GZ
