Cover Image

sat-QFL: Secure Quantum Federated Learning for Low Orbit Satellites

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gurung, Dev, Pokhrel, Shiva Raj
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

orb-QFL: Orbital Quantum Federated Learning
by: Gurung, Dev, et al.
Published: (2025)

NAC-QFL: Noise Aware Clustered Quantum Federated Learning
by: Sahu, Himanshu, et al.
Published: (2024)

Robust Zero Trust Architecture: Joint Blockchain based Federated learning and Anomaly Detection based Framework
by: Pokhrel, Shiva Raj, et al.
Published: (2024)

Towards Formal Verification of Federated Learning Orchestration Protocols on Satellites
by: Popovic, Miroslav, et al.
Published: (2024)

Asynchronous Secure Federated Learning with Byzantine aggregators
by: Del Pozzo, Antonella, et al.
Published: (2026)

FedHC: A Hierarchical Clustered Federated Learning Framework for Satellite Networks
by: Liu, Zhuocheng, et al.
Published: (2025)

DFedSat: Communication-Efficient and Robust Decentralized Federated Learning for LEO Satellite Constellations
by: Yang, Minghao, et al.
Published: (2024)

ALANINE: A Novel Decentralized Personalized Federated Learning For Heterogeneous LEO Satellite Constellation
by: Zhao, Liang, et al.
Published: (2024)

An Empirical Analysis of Secure Federated Learning for Autonomous Vehicle Applications
by: Mia, Md Jueal, et al.
Published: (2025)

On Resilient and Efficient Linear Secure Aggregation in Hierarchical Federated Learning
by: Weng, Shudi, et al.
Published: (2026)

A Sharded Blockchain-Based Secure Federated Learning Framework for LEO Satellite Networks
by: Wu, Wenbo, et al.
Published: (2024)

Komet: A Serverless Platform for Low-Earth Orbit Edge Services
by: Pfandzelter, Tobias, et al.
Published: (2024)

CroSatFL: Energy-Efficient Federated Learning with Cross-Aggregation for Satellite Edge Computing
by: Yang, Nan, et al.
Published: (2026)

Stitching Satellites to the Edge: Pervasive and Efficient Federated LEO Satellite Learning
by: Elmahallawy, Mohamed, et al.
Published: (2024)

Edge Intelligence in Satellite-Terrestrial Networks with Hybrid Quantum Computing
by: Huang, Siyue, et al.
Published: (2024)

Scheduling for On-Board Federated Learning with Satellite Clusters
by: Razmi, Nasrin, et al.
Published: (2024)

Federated k-Core Decomposition: A Secure Distributed Approach
by: Guo, Bin, et al.
Published: (2024)

Quantum-Inspired Privacy-Preserving Federated Learning Framework for Secure Dementia Classification
by: Tanbhir, Gazi, et al.
Published: (2025)

Cloud Revolution: Tracing the Origins and Rise of Cloud Computing
by: Gurung, Deepa, et al.
Published: (2025)

Optimal Routing for Federated Learning over Dynamic Satellite Networks: Tractable or Not?
by: Zhao, Yi, et al.
Published: (2026)

Greedy Shapley Client Selection for Communication-Efficient Federated Learning
by: Singhal, Pranava, et al.
Published: (2023)

Federated Learning for Terahertz Wireless Communication
by: Baydas, O. Tansel, et al.
Published: (2025)

LLM-QFL: Distilling Large Language Model for Quantum Federated Learning
by: Gurung, Dev, et al.
Published: (2025)

Low-Latency Federated Fine-Tuning for Large Language Models Over Wireless Networks
by: Pang, Zhiwen, et al.
Published: (2026)

Sentinel: An Aggregation Function to Secure Decentralized Federated Learning
by: Feng, Chao, et al.
Published: (2023)

UnifyFL: Enabling Decentralized Cross-Silo Federated Learning
by: S, Sarang, et al.
Published: (2025)

Heat: Satellite's meat is GPU's poison
by: Yuan, Zhehu, et al.
Published: (2024)

Optimal Checkpoint Interval with Availability as an Objective Function
by: Saxena, Nirmal Raj, et al.
Published: (2024)

Practical Federated Learning without a Server
by: Dhasade, Akash, et al.
Published: (2025)

MicroPython Testbed for Federated Learning Algorithms
by: Popovic, Miroslav, et al.
Published: (2024)

EvoSort: A Genetic-Algorithm-Based Adaptive Parallel Sorting Framework for Large-Scale High Performance Computing
by: Raj, Shashank, et al.
Published: (2025)

SMTFL: Secure Model Training to Untrusted Participants in Federated Learning
by: Zhao, Zhihui, et al.
Published: (2025)

Fantastyc: Blockchain-based Federated Learning Made Secure and Practical
by: Boitier, William, et al.
Published: (2024)

AerialDB: A Federated Peer-to-Peer Spatio-temporal Edge Datastore for Drone Fleets
by: Jaiswal, Shashwat, et al.
Published: (2025)

Generative Federated Learning for Smart Prediction and Recommendation Applications
by: Mukherjee, Anwesha, et al.
Published: (2025)

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture
by: Sobati-M, Somayeh
Published: (2025)

Advancing Hybrid Defense for Byzantine Attacks in Federated Learning
by: Yue, Kai, et al.
Published: (2024)

Understanding Communication Backends in Cross-Silo Federated Learning
by: Ziashahabi, Amir, et al.
Published: (2026)

Evolving Topics in Federated Learning: Trends, and Emerging Directions for IS
by: Uddin, Md Raihan, et al.
Published: (2024)

FedFQ: Federated Learning with Fine-Grained Quantization
by: Li, Haowei, et al.
Published: (2024)