10 citations · 12 across the 6 of their papers we have counts for
6 papers
Efficient and Robust Online Learning to Rank in Decentralized Systems
Marcel Gregoriadis, Martijn de Vos, Sayan Biswas +2
In Online Learning to Rank (OLTR), ranking models are trained directly from live user interactions, but existing systems rely on a trusted central server to collect and process the…
A Large-Scale Web Search Dataset for Federated Online Learning to Rank
Marcel Gregoriadis, Jingwei Kang, Johan Pouwelse
The centralized collection of search interaction logs for training ranking models raises significant privacy concerns. Federated Online Learning to Rank (FOLTR) offers a privacy-pr…
SwarmSearch: Decentralized Search Engine with Self-Funding Economy
Marcel Gregoriadis, Rowdy Chotkan, Petru Neague +1
Centralized search engines control what we see, read, believe, and vote. Consequently, they raise concerns over information control, censorship, and bias. Decentralized search engi…
A Thorough Investigation of Content-Defined Chunking Algorithms for Data Deduplication
Marcel Gregoriadis, Leonhard Balduf, Björn Scheuermann +1
Data deduplication emerged as a powerful solution for reducing storage and bandwidth costs in cloud settings by eliminating redundancies at the level of chunks. This has spurred th…
De-DSI: Decentralised Differentiable Search Index
Petru Neague, Marcel Gregoriadis, Johan Pouwelse
This study introduces De-DSI, a novel framework that fuses large language models (LLMs) with genuine decentralization for information retrieval, particularly employing the differen…
Analysis of Arbitrary Content on Blockchain-Based Systems using BigQuery
Marcel Gregoriadis, Robert Muth, Martin Florian
Blockchain-based systems have gained immense popularity as enablers of independent asset transfers and smart contract functionality. They have also, since as early as the first Bit…