I am a PhD researcher at the Signal processing group at NTNU with Prof. Stefan Werner. My work focuses on communication-efficient, privacy-aware federated learning and distributed optimization under client heterogeneity and partial participation. I design compression/error-feedback algorithms with theoretical convergence analysis and build scalable experiments in PyTorch on GPU/HPC systems. I am always open to collaborations; feel free to reach out if our interests align.
- Federated Learning
- Distributed Optimization
- Privacy-preserving Machine Learning
- Communication-efficient FL
- On-device Learning
PhD in Statistical Signal Processing and Machine Learning at the Edge, 2023 - 2027
Norwegian University of Science and Technology (NTNU)
MTech in Computer Science Engineering (Software Engineering), 2023
Kalinga Institute of Industrial Technology (KIIT)
BTech in Electronics and Computer Science Engineering, 2021
Kalinga Institute of Industrial Technology (KIIT)
Skills
Experience
- Developing privacy-preserving and personalized federated learning methods; studying heterogeneity, compression, and partial participation.
- Designing communication-efficient training ideas (e.g., sparsification/quantization with error feedback) with theoretical analyses.
- Building reproducible research code in Python/PyTorch and running controlled sweeps on GPU/HPC environments.
- Teaching assistant for TTT4275 (Estimation, Detection and Classification) and TTT4120 (Digital Signal Processing).
- Built a data-loss detection service using Spring Boot, automating ~12 hours of manual work.
- Reduced data processing time by 50% by transitioning Spark jobs to PySpark and optimizing ETL workflows.
- Engineered synchronization between Snowflake and PostgreSQL to ensure reliable, consistent data flow.
- Developed a predictive maintenance model using historical equipment data to reduce downtime and maintenance costs.
- Supported lectures and labs; provided 1:1 and small-group instruction and grading support.
- Designed and delivered practice material in C++/Python (arrays, trees, graphs, complexity), improving student engagement and mastery.
Recent Publications
Awards
- Ethiopian Betre-Science Government Scholarship (Aug 2017)
- KIIT Merit Scholarship (Feb 2019 – Jul 2021)
- Vice-Chancellor’s Silver Medal (Aug 2021)
Recent Posts
Projects
Recent & Upcoming Talks
Contact
Feel free to reach out to me for any inquiries or collaborations. I’m always open to discussing new projects, creative ideas, or any opportunities. Email: dawit.k.redie@ntnu.no (primary) and dawit.k.redie@gmail.com (secondary).
- dawit.k.redie@ntnu.no
- C342, Elektro C Gløshaugen, Trondheim, Trøndelag 7034
- DM Me