Overview
About the project
Federated learning relies on aggregating model updates from numerous decentralised devices, each containing sensitive data. Existing aggregation methods risk exposing individual updates, risking privacy breaches. Additionally, malicious participants may attempt to manipulate the process, compromising model integrity. Secure aggregation protocols are necessary to protect data privacy and ensure model integrity.
This Secure Aggregation Protocols for Federated Learning - Ensuring Privacy and Integrity in Decentralised Model Updates project from Deakin University aims to develop cryptographic protocols for secure model update aggregation in federated learning, ensuring privacy and integrity. It involves designing mechanisms to protect individual update privacy, verify model integrity, and evaluating protocol performance in real-world scenarios. To achieve this, we will investigate cryptographic techniques such as SMPC, homomorphic encryption, and differential privacy for their suitability in federated learning.
Subsequently, we will develop tailored cryptographic protocols, considering factors such as communication overhead, computational complexity, and privacy guarantees. The implementation of these protocols will be done using compatible frameworks, ensuring seamless integration with existing federated learning systems
Programme Structure
- Expected outcomes include the development of novel secure aggregation protocols, empirical evidence of their effectiveness, and insights into the trade-offs involved in federated learning.
- The significance of this project is in its potential to enable privacy-preserving, trustworthy federated learning systems, enhancing data privacy, and promoting collaboration while safeguarding sensitive information
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Delivered
Disciplines
General Engineering & Technology Artificial Intelligence View 23 other PhDs in General Engineering & Technology in AustraliaAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
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Other requirements
General requirements
- academic transcripts
- curriculum vitae (CV) detailing publications, relevant professional and research experience
- evidence of English language proficiency
- statement of purpose (a written statement of your motivation)
- contact details of two academic referees.
- CRICOS Provider Code: 00113B
Tuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 AUD for the full programme during 48 months. -
National
FreeTuition FeeBased on the tuition of 0 AUD for the full programme during 48 months.
All successful applicants will receive a scholarship that will cover tuition fees, a stipend and financial support.
Living costs for Geelong
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find PhD's scholarship opportunities for Secure Aggregation Protocols for Federated Learning - Ensuring Privacy and Integrity in Decentralised Model Updates.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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