Most of my research is centered around ML-powered information retrieval in peer-to-peer systems, tapping into decentralized learning. Though, I have also spent some time studying chunking algorithms for data deduplication.
2025
- A Large-Scale Web Search Dataset for Federated Online Learning to Rank Marcel Gregoriadis, Jingwei Kang, Johan Pouwelse. CIKM '25: Proceedings of the 34th ACM International Conference on Information and Knowledge Management. [PDF] [Code] [Dataset]
- SwarmSearch: Decentralized Search Engine with Self-Funding Economy Marcel Gregoriadis, Rowdy Chotkan, Petru Neague, Johan Pouwelse. LCN '25: Proceedings of the 50th IEEE Conference on Local Computer Networks. [PDF] [Code]
- Decentralized Adaptive Ranking using Transformers Marcel Gregoriadis, Quinten Stokkink, Johan Pouwelse. EuroMLSys '25: Proceedings of the 5th Workshop on Machine Learning and Systems. [PDF] [Code]
2024
- A Thorough Investigation of Content-Defined Chunking Algorithms for Data Deduplication Marcel Gregoriadis, Leonhard Balduf, Bjorn Scheuermann, Johan Pouwelse. arXiv preprint. [PDF] [Code]
- De-DSI: Decentralised Differentiable Search Index Petru Neague, Marcel Gregoriadis, Johan Pouwelse. EuroMLSys '24: Proceedings of the 4th Workshop on Machine Learning and Systems. [PDF] [Code]
2022
- Analysis and Comparison of Deduplication Strategies in IPFS Marcel Gregoriadis. Master Thesis at Humboldt University of Berlin. [PDF] [Code]
- Analysis of Arbitrary Content on Blockchain-Based Systems using BigQuery Marcel Gregoriadis, Robert Muth, Martin Florian. WWW '22: Companion Proceedings of the Web Conference. [PDF] [Code]