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Mir Sazzat Hossain

Center for Computational & Data Sciences

8 papers hereh-index 210 citations15 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2
  • last author1

Across the 5 of 8 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • astro-ph.GA2
  • astro-ph.IM1
  • cs.CV1
  • hep-ph1
affiliations
  • Center for Computational & Data Sciences
  • Independent University, Bangladesh
HomepageORCID 0000-0001-6999-6879
same name
  • Mir Sazzat Hossain — 2 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232025
most citedMorphological Classification of Radio Galaxies using Semi-Supervised Group Equivariant CNNs

3 citations · 7 across the 8 of their papers we have counts for

collaborators
Showing cs.LGShow all

3 papers · 1 filter

cs.LG2025

pFedBBN: A Personalized Federated Test-Time Adaptation with Balanced Batch Normalization for Class-Imbalanced Data

Md Akil Raihan Iftee, Syed Md. Ahnaf Hasan, Mir Sazzat Hossain +5

Test-time adaptation (TTA) in federated learning (FL) is crucial for handling unseen data distributions across clients, particularly when faced with domain shifts and skewed class…

cs.LG2025

SloMo-Fast: Slow-Momentum and Fast-Adaptive Teachers for Source-Free Continual Test-Time Adaptation

Md Akil Raihan Iftee, Mir Sazzat Hossain, Rakibul Hasan Rajib +5

Continual Test-Time Adaptation (CTTA) is crucial for deploying models in real-world applications with unseen, evolving target domains. Existing CTTA methods, however, often rely on…

cs.LG2025★ 2 cited

FedCTTA: A Collaborative Approach to Continual Test-Time Adaptation in Federated Learning

Rakibul Hasan Rajib, Md Akil Raihan Iftee, Mir Sazzat Hossain +4

Federated Learning (FL) enables collaborative model training across distributed clients without sharing raw data, making it ideal for privacy-sensitive applications. However, FL mo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.