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Md. Saikat Islam Khan Bappy

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#artificial intelligence Preprint Sep 2026

Cost Characterization of Vertically Partitioned Federated Knowledge Graphs

It is shown that the trade-off between locality and balance holds only where each silo can hold several relations, weakening as the number of silos increases, and the study provides practical guidance for deployments constrained by cross-silo reasoning or by silo load.

Md. Saikat Islam Khan Bappy, O. Seneviratne · 0 citations
#artificial intelligence Preprint Sep 2026

FedV-KGQA in Practice: Design Lessons and an Interactive Prototype

The empirical findings of FedV-KGQA on multi-hop question answering over vertically partitioned graphs are presented, and an interactive prototype that runs real inference and traces the full pipeline, per question, on released checkpoints is contributed.

Md. Saikat Islam Khan Bappy, O. Seneviratne · 0 citations
Preprint Aug 2026

FedV-KGQA: Multi-Hop Question Answering over Vertically Partitioned Knowledge Graphs

Real-world data for knowledge graph question answering is often distributed across different organizations due to governance and data sovereignty constraints. While centralized systems exist, they cannot answer multi-hop questions when the required facts are split across vertically partitioned silos. In this paper, we...

Md. Saikat Islam Khan Bappy, O. Seneviratne · 2 citations

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