Cover Image

Stabilizing Federated Learning under Extreme Heterogeneity with HeteRo-Select

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Masud, Md. Akmol, Jahin, Md Abrar, Hasan, Mahmud
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detection
by: Jahin, Md Abrar, et al.
Published: (2024)

Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination
by: Jahin, Md Abrar, et al.
Published: (2024)

Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics
by: Jahin, Md Abrar, et al.
Published: (2024)

Extracting Cause-Effect Pairs from a Sentence with a Dependency-Aware Transformer Model
by: Kabir, Md Ahsanul, et al.
Published: (2025)

A Natural Language Processing-Based Classification and Mode-Based Ranking of Musculoskeletal Disorder Risk Factors
by: Jahin, Md Abrar, et al.
Published: (2023)

MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model
by: Jahin, Md Abrar, et al.
Published: (2024)

Quantum-Informed Contrastive Learning with Dynamic Mixup Augmentation for Class-Imbalanced Expert Systems
by: Jahin, Md Abrar, et al.
Published: (2025)

Human-in-the-Loop Feature Selection Using Interpretable Kolmogorov-Arnold Network-based Double Deep Q-Network
by: Jahin, Md Abrar, et al.
Published: (2024)

AdeptHEQ-FL: Adaptive Homomorphic Encryption for Federated Learning of Hybrid Classical-Quantum Models with Dynamic Layer Sparing
by: Jahin, Md Abrar, et al.
Published: (2025)

Reinforcement-Guided Hyper-Heuristic Hyperparameter Optimization for Fair and Explainable Spiking Neural Network-Based Financial Fraud Detection
by: Nasif, Sadman Mohammad, et al.
Published: (2025)

HealthNLP_Retrievers at ArchEHR-QA 2026: Cascaded LLM Pipeline for Grounded Clinical Question Answering
by: Hosen, Md Biplob, et al.
Published: (2026)

Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking
by: Soudeep, Shahriar, et al.
Published: (2024)

HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model
by: Pan, Zhenyu, et al.
Published: (2024)

ChronoSpike: An Adaptive Spiking Graph Neural Network for Dynamic Graphs
by: Jahin, Md Abrar, et al.
Published: (2026)

Big Data$\unicode{x2013}$Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques
by: Jahin, Md Abrar, et al.
Published: (2023)

AutoHete: An Automatic and Efficient Heterogeneous Training System for LLMs
by: Zeng, Zihao, et al.
Published: (2025)

The Impact of Machine Learning on Society: An Analysis of Current Trends and Future Implications
by: Siam, Md Kamrul Hossain, et al.
Published: (2024)

Physics-Informed Graph Neural Networks for Transverse Momentum Estimation in CMS Trigger Systems
by: Jahin, Md Abrar, et al.
Published: (2025)

A hybrid transformer and attention based recurrent neural network for robust and interpretable sentiment analysis of tweets
by: Jahin, Md Abrar, et al.
Published: (2024)

Biased Federated Learning under Wireless Heterogeneity
by: Abrar, Muhammad Faraz Ul, et al.
Published: (2025)

Biased Over-the-Air Federated Learning under Wireless Heterogeneity
by: Abrar, Muhammad Faraz Ul, et al.
Published: (2024)

Predicting Male Domestic Violence Using Explainable Ensemble Learning and Exploratory Data Analysis
by: Jahin, Md Abrar, et al.
Published: (2024)

DyCAF-Net: Dynamic Class-Aware Fusion Network
by: Jahin, Md Abrar, et al.
Published: (2025)

Soybean Disease Detection via Interpretable Hybrid CNN-GNN: Integrating MobileNetV2 and GraphSAGE with Cross-Modal Attention
by: Jahin, Md Abrar, et al.
Published: (2025)

AdRo-FL: Informed and Secure Client Selection for Federated Learning in the Presence of Adversarial Aggregator
by: Hossain, Md. Kamrul, et al.
Published: (2025)

AI in Supply Chain Risk Assessment: A Systematic Literature Review and Bibliometric Analysis
by: Jahin, Md Abrar, et al.
Published: (2023)

Interpretable Heart Disease Prediction via a Weighted Ensemble Model: A Large-Scale Study with SHAP and Surrogate Decision Trees
by: Hasnat, Md Abrar, et al.
Published: (2025)

A Deep Learning-based Multimodal Depth-Aware Dynamic Hand Gesture Recognition System
by: Mahmud, Hasan, et al.
Published: (2021)

Colorectal Cancer Histopathological Grading using Multi-Scale Federated Learning
by: Arafath, Md Ahasanul, et al.
Published: (2025)

CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection
by: Jahin, Md Abrar, et al.
Published: (2025)

Comparative Assessment of Concrete Compressive Strength Prediction at Industry Scale Using Embedding-based Neural Networks, Transformers, and Traditional Machine Learning Approaches
by: Islam, Md Asiful, et al.
Published: (2026)

Context-Aware Zero-Shot Anomaly Detection in Surveillance Using Contrastive and Predictive Spatiotemporal Modeling
by: Khan, Md. Rashid Shahriar, et al.
Published: (2025)

Fingerprinting Deep Learning Models via Network Traffic Patterns in Federated Learning
by: Shuvo, Md Nahid Hasan, et al.
Published: (2025)

A Machine Learning Framework for Breast Cancer Treatment Classification Using a Novel Dataset
by: Hasan, Md Nahid, et al.
Published: (2025)

Predictive Maintenance Optimization for Smart Vending Machines Using IoT and Machine Learning
by: Hasan, Md. Nisharul
Published: (2025)

Proactive Fraud Defense: Machine Learning's Evolving Role in Protecting Against Online Fraud
by: Chy, Md Kamrul Hasan
Published: (2024)

A Hybrid Machine Learning Approach for Synthetic Data Generation with Post Hoc Calibration for Clinical Tabular Datasets
by: Mahin, Md Ibrahim Shikder, et al.
Published: (2025)

HyperQ-Opt: Q-learning for Hyperparameter Optimization
by: Hasan, Md. Tarek
Published: (2024)

Optimized Approaches to Malware Detection: A Study of Machine Learning and Deep Learning Techniques
by: Fahim, Abrar, et al.
Published: (2025)

BanglaSentNet: An Explainable Hybrid Deep Learning Framework for Multi-Aspect Sentiment Analysis with Cross-Domain Transfer Learning
by: Islam, Ariful, et al.
Published: (2025)