Looking for Teammates to Collaborate
Hello, fellow ML and security enthusiasts!
I’m seeking team members to collaborate on research in the fields of secure federated learning, distributed machine learning, and privacy-preserving techniques. Our research will focus on enhancing system security, reducing communication overhead, and leveraging machine learning to address real-world problems in these domains.
Research Areas
- Secure Federated Learning: Developing federated learning models that integrate homomorphic encryption and differential privacy to ensure data privacy while optimizing communication costs.
- Security and Privacy in Federated Learning and Machine Learning: Innovating methods to secure distributed machine learning environments, ensuring data integrity and protection in intelligent systems.
- Intelligent Systems: Applying privacy-preserving machine learning techniques, including secure object detection, to enhance security in autonomous and intelligent transportation systems.
Tasks Overview
We will work together to develop innovative methods, publish findings, and submit papers to top conferences and journals.
Why Join?
- Skill Enhancement: Improve your ML and security skills while learning cutting-edge techniques in federated learning and privacy.
- Networking: Collaborate with peers and experts, expanding your professional network.
- Research Exposure: Gain valuable experience in academic research and writing, with opportunities to publish in peer-reviewed journals.
- Career Opportunities: Enhance your resume with collaborative research projects and publications.
Looking For
Passionate individuals with expertise or interest in machine learning, privacy and security, and federated learning. Whether you’re skilled in model building, data security, or research writing, your contributions are welcome.
Next Steps
If you’re interested, please reach out to me at mmia001@fiu.edu with your CV and a brief introduction. Let’s collaborate and push the boundaries of secure federated learning together!