research paper on Usage of partial Homomorphic Encryption for health data confidentiality in Machine learning

I am looking for a skilled researcher who can write a research paper on the usage of partial homomorphic encryption for health data confidentiality in machine learning. The ideal candidate should have a strong background in both machine learning and cryptography.

below are the topics that need to be filled:
1. Refine / modify / narrow the title of your project to reflect your research problem(s) better.

2. Open / unsolved problems in the area of your project

3. Problem statement: what problem(s) you try to solve

4. Framework of your proposed solution(s) / methods to the problem(s)

5. Analysis of your solutions / methods

6. Implementation of your solutions / methods

7. Difficulties / issues faced while implementing your proposal

8. Conclusions and future work

9. References


Desired Length:
- The research paper should be between 10-15 pages in length.

Format:
- The format of the research paper is not specified.

Deadline:
- The deadline for completing the research paper is 2 weeks.

Skills and Experience:
- Strong research skills in the field of machine learning and cryptography.
- Experience in writing academic papers and following proper citation and referencing guidelines.
- Knowledge of partial homomorphic encryption and its application in health data confidentiality.
- Ability to analyze and synthesize complex information into a coherent and well-structured research paper.
- Proficiency in writing in an academic style with clear and concise language.

If you meet these requirements and can deliver a high-quality research paper within the given timeframe, please submit your proposal.