activity
20232026
most citedSparse Incremental Aggregation in Multi-Hop Federated Learning

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2026

Dynamic FDD for Spectrum Sharing in Non-Terrestrial Networks

Sourav Mukherjee, Bho Matthiesen, Armin Dekorsy +1

Future 6G networks are envisioned to integrate low Earth orbit satellite mega-constellations to enable seamless global connectivity, particularly in underserved and remote areas. H…

cs.IT2025

Dynamic Downlink-Uplink Spectrum Sharing between Terrestrial and Non-Terrestrial Networks

Sourav Mukherjee, Bho Matthiesen, Armin Dekorsy +1

6G networks are expected to integrate low Earth orbit satellites to ensure global connectivity by extending coverage to underserved and remote regions. However, the deployment of d…

eess.SP2025

Sparse Incremental Aggregation in Satellite Federated Learning

Nasrin Razmi, Sourav Mukherjee, Bho Matthiesen +2

This paper studies Federated Learning (FL) in low Earth orbit (LEO) satellite constellations, where satellites are connected via intra-orbit inter-satellite links (ISLs) to their n…

cs.DC2024★ 1 cited

Sparse Incremental Aggregation in Multi-Hop Federated Learning

Sourav Mukherjee, Nasrin Razmi, Armin Dekorsy +2

This paper investigates federated learning (FL) in a multi-hop communication setup, such as in constellations with inter-satellite links. In this setup, part of the FL clients are…

stat.ME2023

A semi-parametric approach for estimating consumer valuation distributions using second price auctions

Sourav Mukherjee, Ziqian Yang, Rohit K Patra +1

We focus on online second price auctions, where bids are made sequentially, and the winning bidder pays the maximum of the second-highest bid and a seller specified starting price.…