Cover Image

Enhancing Quantum Federated Learning with Fisher Information-Based Optimization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bhatia, Amandeep Singh, Kais, Sabre
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Distributed, Parallel, and Cluster Computing Emerging Technologies Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Layerwise Federated Learning for Heterogeneous Quantum Clients using Quorus
by: Han, Jason, et al.
Published: (2025)

Attention on Personalized Clinical Decision Support System: Federated Learning Approach
by: Thwal, Chu Myaet, et al.
Published: (2024)

Pruning Federated Models through Loss Landscape Analysis and Client Agreement Scoring
by: Internò, Christian, et al.
Published: (2024)

Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience
by: Huynh, Thanh Trung, et al.
Published: (2024)

Decentralized Multi-Agent Swarms for Autonomous Grid Security in Industrial IoT: A Consensus-based Approach
by: Singh, Samaresh Kumar, et al.
Published: (2026)

Real-Time Driver Safety Scoring Through Inverse Crash Probability Modeling
by: Roy, Joyjit, et al.
Published: (2026)

MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption
by: Dutta, Siddhant, et al.
Published: (2024)

Deep Reinforcement Learning for Dynamic Resource Allocation in Wireless Networks
by: Malhotra, Shubham, et al.
Published: (2025)

A Quantum Algorithm Based Heuristic to Hide Sensitive Itemsets
by: Ghoshal, Abhijeet, et al.
Published: (2024)

Multi-dimensional Autoscaling of Processing Services: A Comparison of Agent-based Methods
by: Sedlak, Boris, et al.
Published: (2025)

TA-RNN-Medical-Hybrid: A Time-Aware and Interpretable Framework for Mortality Risk Prediction
by: Jafari, Zahra, et al.
Published: (2026)

Follow-Me AI: Energy-Efficient User Interaction with Smart Environments
by: Saleh, Alaa, et al.
Published: (2024)

Quantum Computing: Vision and Challenges
by: Gill, Sukhpal Singh, et al.
Published: (2024)

Deep Optimizer States: Towards Scalable Training of Transformer Models Using Interleaved Offloading
by: Maurya, Avinash, et al.
Published: (2024)

Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case
by: Herbst, Sabrina, et al.
Published: (2024)

Hybrid Quantum-HPC Solutions for Max-Cut: Bridging Classical and Quantum Algorithms
by: Patwardhan, Ishan, et al.
Published: (2024)

Pilot-Quantum: A Quantum-HPC Middleware for Resource, Workload and Task Management
by: Mantha, Pradeep, et al.
Published: (2024)

Benchmarking Quantum Computers via Protocols, Comparing Superconducting and Ion-Trap Quantum Technology
by: Mayo, Nitay, et al.
Published: (2026)

Enhancing Disaster Resilience with UAV-Assisted Edge Computing: A Reinforcement Learning Approach to Managing Heterogeneous Edge Devices
by: Azfar, Talha, et al.
Published: (2025)

ReinDSplit: Reinforced Dynamic Split Learning for Pest Recognition in Precision Agriculture
by: Tanwar, Vishesh Kumar, et al.
Published: (2025)

Minimizing the Number of Teleportations in Distributed Quantum Computing Using Alloy
by: Ebnenasir, Ali, et al.
Published: (2024)

Distributed Quantum Error Mitigation: Global and Local ZNE encodings
by: Garces, Maria Gragera
Published: (2026)

QFaaS: A Serverless Function-as-a-Service Framework for Quantum Computing
by: Nguyen, Hoa T., et al.
Published: (2022)

The Need for Quantitative Resilience Models and Metrics in Classical-Quantum Computing Systems
by: Núñez-Corrales, Santiago
Published: (2026)

Distributed Quantum Computing with Fan-Out Operations and Qudits: the Case of Distributed Global Gates
by: Loke, Seng W.
Published: (2025)

QuMod: Parallel Quantum Job Scheduling on Modular QPUs using Circuit Cutting
by: Kulkarni, Vinooth, et al.
Published: (2026)

Benchmarking Quantum Computers via Protocols, Comparing IBM's Heron vs IBM's Eagle
by: Mayo, Nitay, et al.
Published: (2026)

GPU-Accelerated Quantum Simulation: Empirical Backend Selection, Gate Fusion, and Adaptive Precision
by: Kumaresan, Poornima, et al.
Published: (2026)

Advantages of Co-locating Quantum-HPC Platforms: A Survey for Near-Future Industrial Applications
by: Honda, Daigo, et al.
Published: (2025)

Hybrid Classical-Quantum Supercomputing: A demonstration of a multi-user, multi-QPU and multi-GPU environment
by: Slysz, Mateusz, et al.
Published: (2025)

SCALE: Self-regulated Clustered federAted LEarning in a Homogeneous Environment
by: Puppala, Sai, et al.
Published: (2024)

E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning
by: Zhang, Le, et al.
Published: (2024)

Fast and memory-efficient classical simulation of quantum machine learning via forward and backward gate fusion
by: Kawase, Yoshiaki
Published: (2026)

Assessing the Elephant in the Room in Scheduling for Current Hybrid HPC-QC Clusters
by: Viviani, Paolo, et al.
Published: (2025)

QMIO: A tightly integrated hybrid HPCQC system
by: Cacheiro, Javier, et al.
Published: (2025)

QPU Micro-Kernels for Stencil Computation
by: Markidis, Stefano, et al.
Published: (2025)

When Federated Learning Meets Quantum Computing: Survey and Research Opportunities
by: Mathur, Aakar, et al.
Published: (2025)

Evaluating Kubernetes Performance for GenAI Inference: From Automatic Speech Recognition to LLM Summarization
by: Malleni, Sai Sindhur, et al.
Published: (2026)

Envisioning National Resources for Artificial Intelligence Research: NSF Workshop Report
by: Jha, Shantenu, et al.
Published: (2024)

Towards Efficient Key-Value Cache Management for Prefix Prefilling in LLM Inference
by: Zhu, Yue, et al.
Published: (2025)