Machine Learning Community of Practice (ML4AU) Meeting (June 2026): Governance of Federated Learning in Healthcare

About the Event

The ARDC invites you to the June 2026 session of the Machine Learning Community of Practice (ML4AU), focused on governance of federated learning in healthcare.

ML4AU provides an opportunity for anyone interested in ML for research to collaborate over the emerging needs for ML capabilities and expertise in digital research.

As federated machine learning (FedML) gains momentum across healthcare research, governance is becoming one of the key challenges to address. How do we create systems that are trusted, scalable and support collaboration while maintaining privacy, security and responsible use?

The session will include an expert presentation followed by facilitated discussions exploring approaches to governing federated machine learning in healthcare.

This interactive session forms part of the ARDC-supported national Frontier Federated Machine Learning Capacity Building for Australia project, which brings together Australian expertise to develop shared infrastructure, governance approaches and community capability for federated machine learning.

Speakers

Dr Rebekah Eden will present on governance considerations for federated learning in healthcare, including emerging approaches and practical considerations for trusted implementation.

Dr Dom Gorse will chair this session.

Who Should Attend

This session may be of interest to:

• researchers and academics
• machine learning and AI specialists
• health data researchers
• data custodians and governance professionals
• digital infrastructure providers
• research software engineers
• research support professionals
• federated learning practitioners
• people working with health data and distributed networks.

What You’ll Gain

Participants will:

• better understand governance considerations for federated machine learning in healthcare
• explore procedural, structural and relational governance mechanisms
• hear practical perspectives from experts and peers
• contribute ideas and experiences through facilitated discussion
• connect with Australia’s growing federated machine learning community.

Recording

This session will be recorded. The recording will be provided to all registrants and published on the ARDC YouTube channel.

More About ML4AU

ML4AU is co-facilitated by ARDC and Monash Data Science and AI Platform with members coming from academia and research support. It explores issues, challenges and interests of various machine learning communities, including: 

• user communities who apply or intend to apply ML to their research, irrespective of their expertise levels
• practitioner communities who have hands-on expertise in ML and can assist others in applying ML
• training groups and volunteers interested in Machine Learning training development and delivery
• infrastructure providers who host specialist infrastructure for ML, like high performance computers.

Learn more about ML4AU and join for free.

Do you have questions about this event? Contact Elleina at the ARDC.

Please note that this event will be recorded and published by the ARDC. This may include your contributions during the session. Attendees are expected to comply with the Code of Conduct for ARDC Activities during this event. The ARDC respects the privacy of individuals. Information collected is in accordance with the ARDC Privacy Policy.

Check out our Communities of Practice. Explore and join the many digital research and data communities and groups we facilitate for information exchange, best practice, problem solving and peer support.

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