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Subhrakanti Dey — most-cited papers & profile · Federated Learning
← authors
·
overview
Subhrakanti Dey
7
papers ·
3
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
SHED: A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing
2022 · 2 citations
FedZeN: Towards superlinear zeroth-order federated learning via incremental Hessian estimation
2023 · 1 citations
Federated Learning of Spiking Neural Networks under Heterogeneous Temporal Resolutions
2026
VR-VFL: Joint Rate and Client Selection for Vehicular Federated Learning Under Imperfect CSI
2026
Network-GIANT: Fully distributed Newton-type optimization via harmonic Hessian consensus
2023
Q-SHED: Distributed Optimization at the Edge via Hessian Eigenvectors Quantization
2023
Over-the-air Federated Policy Gradient
2023
Top co-authors
Luca Schenato
· 4
Alessio Maritan
· 2
Michele Rossi
· 2
Nicol\`o Dal Fabbro
· 2
Ay\c{c}a \"Oz\c{c}elikkale
· 1
Christian Rohner
· 1
Ganesh Sharma
· 1
Huiwen Yang
· 1
Jose Mairton Barros da Silva Jr
· 1
Ling Shi
· 1
Lingying Huang
· 1
Metehan Karatas
· 1
Topics
Federated Learning
Optimization
cs.LG
eess.SP
Communication