:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Haseeb, Muhammad, Masood, Salaar, Sohail, Muhammad Abdullah
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2512.23043
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deciphering the Underserved: Benchmarking LLM OCR for Low-Resource Scripts
by: Sohail, Muhammad Abdullah, et al.
Published: (2024)

Towards Misinformation Resilience in Pakistan: A Participatory Study with Low-Socioeconomic Status Adults
by: Sohail, Muhammad Abdullah, et al.
Published: (2025)

Improving IoT Intrusion Detection Through SMOTE-Based Oversampling and Extended Multi-Model Evaluation on Side-Channel Power Data
by: Shahzad, Muhammad Khuram, et al.
Published: (2026)

SEMFED: Semantic-Aware Resource-Efficient Federated Learning for Heterogeneous NLP Tasks
by: Hussain, Sajid, et al.
Published: (2025)

Memory-Augmented Architecture for Long-Term Context Handling in Large Language Models
by: Shinwari, Haseeb Ullah Khan, et al.
Published: (2025)

A Privacy-Preserving Indoor Localization System based on Hierarchical Federated Learning
by: Jan, Masood, et al.
Published: (2025)

ARD-LoRA: Dynamic Rank Allocation for Parameter-Efficient Fine-Tuning of Foundation Models with Heterogeneous Adaptation Needs
by: Shinwari, Haseeb Ullah Khan, et al.
Published: (2025)

Progressive Size-Adaptive Federated Learning: A Comprehensive Framework for Heterogeneous Multi-Modal Data Systems
by: Hussain, Sajid, et al.
Published: (2025)

USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks
by: Ibrahim, Muhammad Sohail, et al.
Published: (2024)

Learning from Stochastic Teacher Representations Using Student-Guided Knowledge Distillation
by: Aslam, Muhammad Haseeb, et al.
Published: (2025)

Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decomposition
by: Aswani, Nishant Suresh, et al.
Published: (2024)

A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead
by: Zaman, Kamila, et al.
Published: (2023)

SPAQ-DL-SLAM: Towards Optimizing Deep Learning-based SLAM for Resource-Constrained Embedded Platforms
by: Pudasaini, Niraj, et al.
Published: (2024)

ShrinkBox: Backdoor Attack on Object Detection to Disrupt Collision Avoidance in Machine Learning-based Advanced Driver Assistance Systems
by: Shahzad, Muhammad Zaeem, et al.
Published: (2025)

Planner and Executor: Collaboration between Discrete Diffusion And Autoregressive Models in Reasoning
by: Berrayana, Lina, et al.
Published: (2025)

Blockchain-Enabled Privacy-Preserving Second-Order Federated Edge Learning in Personalized Healthcare
by: Nawaz, Anum, et al.
Published: (2025)

Adversarial Sample Generation for Anomaly Detection in Industrial Control Systems
by: Mustafa, Abdul, et al.
Published: (2025)

Generative VS non-Generative Models in Engineering Shape Optimization
by: Usama, Muhammad, et al.
Published: (2024)

XFED: Non-Collusive Model Poisoning Attack Against Byzantine-Robust Federated Classifiers
by: Mouri, Israt Jahan, et al.
Published: (2026)

Personalized Federated Learning for Statistical Heterogeneity
by: Firdaus, Muhammad, et al.
Published: (2024)

Inverse Design in Distributed Circuits Using Single-Step Reinforcement Learning
by: Li, Jiayu, et al.
Published: (2025)

On Mechanistic Circuits for Extractive Question-Answering
by: Basu, Samyadeep, et al.
Published: (2025)

Markovian Circuit Tracing for Transformer State Dynamic
by: X, Abdullah
Published: (2026)

MechRL: Reinforcement Learning Agents Perform Circuit Discovery for Mechanistic Interpretability
by: Khadka, Barsat
Published: (2026)

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

Utilizing AI and Machine Learning for Predictive Analysis of Post-Treatment Cancer Recurrence
by: Qayyum, Muhammad Umer, et al.
Published: (2025)

BotSSCL: Social Bot Detection with Self-Supervised Contrastive Learning
by: Akhtar, Mohammad Majid, et al.
Published: (2024)

FedQNN: Federated Learning using Quantum Neural Networks
by: Innan, Nouhaila, et al.
Published: (2024)

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

Extracting Money Laundering Transactions from Quasi-Temporal Graph Representation
by: Tariq, Haseeb, et al.
Published: (2026)

ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search
by: Nasir, Azaz-Ur-Rehman, et al.
Published: (2025)

Benchmarking Adaptive Intelligence and Computer Vision on Human-Robot Collaboration
by: Saraj, Salaar, et al.
Published: (2024)

BLAZER: Bootstrapping LLM-based Manipulation Agents with Zero-Shot Data Generation
by: Das, Rocktim Jyoti, et al.
Published: (2025)

A Privacy-Preserving Federated Framework with Hybrid Quantum-Enhanced Learning for Financial Fraud Detection
by: Sawaika, Abhishek, et al.
Published: (2025)

Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation
by: Saleem, Hamza, et al.
Published: (2024)

Preserving Privacy and Security in Federated Learning
by: Nguyen, Truc, et al.
Published: (2022)

Analog-digital Scheduling for Federated Learning: A Communication-Efficient Approach
by: Abrar, Muhammad Faraz Ul, et al.
Published: (2024)

HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning
by: Khan, Momin Ahmad, et al.
Published: (2024)

Federated Proximal Optimization for Privacy-Preserving Heart Disease Prediction: A Controlled Simulation Study on Non-IID Clinical Data
by: Asad, Farzam, et al.
Published: (2026)

Distilled Circuits: A Mechanistic Study of Internal Restructuring in Knowledge Distillation
by: Haskins, Reilly, et al.
Published: (2025)