Cover Image

FedCert: Federated Accuracy Certification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nguyen, Minh Hieu, Nguyen, Huu Tien, Nguyen, Trung Thanh, Nguyen, Manh Duong, Hoang, Trong Nghia, Nguyen, Truong Thao, Nguyen, Phi Le
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Cryptography and Security Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Performance of Distributed File Systems on Cloud Computing Environment: An Evaluation for Small-File Problem
by: Duong, Thanh, et al.
Published: (2023)

FedFog: Network-Aware Optimization of Federated Learning over Wireless Fog-Cloud Systems
by: Nguyen, Van-Dinh, et al.
Published: (2021)

Asyn2F: An Asynchronous Federated Learning Framework with Bidirectional Model Aggregation
by: Cao, Tien-Dung, et al.
Published: (2024)

Collaborative Learning Framework to Detect Attacks in Transactions and Smart Contracts
by: Khoa, Tran Viet, et al.
Published: (2023)

Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training
by: Nguyen, Ngoc-Hieu, et al.
Published: (2024)

LLMPerf: GPU Performance Modeling meets Large Language Models
by: Nguyen, Khoi N. M., et al.
Published: (2025)

Wait or Not to Wait: Evaluating Trade-Offs between Speed and Precision in Blockchain-based Federated Aggregation
by: Nguyen, Huong, et al.
Published: (2024)

Distributed Seasonal Temporal Pattern Mining
by: Ho-Long, Van, et al.
Published: (2025)

FCPO: Federated Continual Policy Optimization for Real-Time High-Throughput Edge Video Analytics
by: Liebe, Lucas, et al.
Published: (2025)

An Evaluation of LLMs Inference on Popular Single-board Computers
by: Tung, et al.
Published: (2025)

Graph-based Gossiping for Communication Efficiency in Decentralized Federated Learning
by: Nguyen, Huong, et al.
Published: (2025)

A Simple Lower Bound for Set Agreement in Dynamic Networks
by: Fraigniaud, Pierre, et al.
Published: (2025)

Agreement Tasks in Fault-Prone Synchronous Networks of Arbitrary Structure
by: Fraigniaud, Pierre, et al.
Published: (2024)

Federated Deep Equilibrium Learning: Harnessing Compact Global Representations to Enhance Personalization
by: Le, Long Tan, et al.
Published: (2023)

Distributed Q-learning-based Shortest-Path Tree Construction in IoT Sensor Networks
by: Vo, Van-Vi, et al.
Published: (2025)

Cooperate to Compete: Strategic Data Generation and Incentivization Framework for Coopetitive Cross-Silo Federated Learning
by: Nguyen, Thanh Linh, et al.
Published: (2026)

Right Reward Right Time for Federated Learning
by: Nguyen, Thanh Linh, et al.
Published: (2025)

Average-case optimization analysis for distributed consensus algorithms on regular graphs
by: Nguyen, Nhat Trung, et al.
Published: (2024)

Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection
by: Le, Long Tan, et al.
Published: (2025)

FedMAC: Tackling Partial-Modality Missing in Federated Learning with Cross-Modal Aggregation and Contrastive Regularization
by: Nguyen, Manh Duong, et al.
Published: (2024)

DREAMS: Decentralized Resource Allocation and Service Management across the Compute Continuum Using Service Affinity
by: Dinh-Tuan, Hai, et al.
Published: (2025)

LA-IMR: Latency-Aware, Predictive In-Memory Routing and Proactive Autoscaling for Tail-Latency-Sensitive Cloud Robotics
by: Seo, Eunil, et al.
Published: (2025)

Silent Failures in Stateless Systems: Rethinking Anomaly Detection for Serverless Computing
by: Nguyen, Chanh, et al.
Published: (2025)

The Robustness of Spiking Neural Networks in Federated Learning with Compression Against Non-omniscient Byzantine Attacks
by: Nguyen, Manh V., et al.
Published: (2025)

A Scalable and Unified Framework to Weighted Rank Aggregation
by: Carmel, Amir, et al.
Published: (2026)

Enforcing Attestable Workflows across Untrusted Networks
by: Dang, Hung, et al.
Published: (2026)

When Quantum Federated Learning Meets Blockchain in 6G Networks
by: Nguyen, Dinh C., et al.
Published: (2025)

Deadline-Aware Joint Task Scheduling and Offloading in Mobile Edge Computing Systems
by: Nguyen, Ngoc Hung, et al.
Published: (2025)

Sustaining Exascale Performance: Lessons from HPL and HPL-MxP on Aurora
by: Goto, Kazushige, et al.
Published: (2026)

ToFU: Transforming How Federated Learning Systems Forget User Data
by: Tran, Van-Tuan, et al.
Published: (2025)

Leveraging Cloud-Fog Automation for Autonomous Collision Detection and Classification in Intelligent Unmanned Surface Vehicles
by: Tran, Thien, et al.
Published: (2025)

Lower Bounds for $k$-Set Agreement in Fault-Prone Networks
by: Fraigniaud, Pierre, et al.
Published: (2025)

Taming Cold Starts: Proactive Serverless Scheduling with Model Predictive Control
by: Nguyen, Chanh, et al.
Published: (2025)

BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning
by: Dao, Thinh, et al.
Published: (2025)

Federated PCA on Grassmann Manifold for IoT Anomaly Detection
by: Nguyen, Tung-Anh, et al.
Published: (2024)

HFedATM: Hierarchical Federated Domain Generalization via Optimal Transport and Regularized Mean Aggregation
by: Nguyen, Thinh, et al.
Published: (2025)

Large language models in 6G security: challenges and opportunities
by: Nguyen, Tri, et al.
Published: (2024)

Green-LLM: Optimal Workload Allocation for Environmentally-Aware Distributed Inference
by: Cheng, Jiaming, et al.
Published: (2025)

Towards Verifiable Federated Unlearning: Framework, Challenges, and The Road Ahead
by: Nguyen, Thanh Linh, et al.
Published: (2025)