EPPDA: An Efficient Privacy-Preserving Data Aggregation Federated Learning Scheme

New directions in cryptography

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Federated Learning in Mobile Edge Networks: A Comprehensive Survey

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Using encryption for authentication in large networks of computers

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Towards Federated Learning at Scale: System Design

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Federated recurrent-based adaptive battle royale algorithm for privacy-preserving data aggregation in industrial IoT: a signal, image, and video processing perspective

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SecureAggRL: Reinforcement Learning-based Secure Data Aggregation System for WSNs

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A federated vehicle re-identification benchmark and performance optimization using dual-phase contrastive dynamic aggregation

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Data Aggregation Mechanisms With Dynamic Integrity Trustworthiness Evaluation Framework for Datacenters

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Human–Machine Hybrid Federated Learning: Concept and Applications

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Devising an actor-based middleware support to federated learning experiments and systems

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Blockchain Technology Promoting Data Privacy Protection and Sharing in Communication Networks

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Clustering-Based Evolutionary Federated Multiobjective Optimization and Learning

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Model-Oriented Orchestration for Federated Learning: Personalization Through Intelligent Client Matching

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Efficient Privacy-Preserving Threshold Private Set Intersection in Cross-Domain Federated Learning Data Alignment

Zhou, S., Chen, L., Wang, Y., Yang, X., & Yuan, K. (2025) · IEEE Internet of Things Journal · doi:10.1109/jiot.2025.3620818 · Cited by 1

Verifiable and privacy-preserving peer-to-peer federated learning with collaborative incentives for edge-IoMT

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HomeMonitor: An Enhanced Device Event Detection Method for Smart Home Environment

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Parameter Update Framework based on Unitized Stochastic Gradient Descent Algorithm in Federated Learning

Mei, F., Lv, J., & Cao, Y. (2022) · International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE) · doi:10.1109/icbaie56435.2022.9985856 · Cited by 1

FV-REID: A Benchmark for Federated Vehicle Re-identification

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Sym-Fed: Unleashing the Power of Symmetric Encryption in Cross-Silo Federated Learning

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Optimal Key Generation using Support Vector Machine for Health Records

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Utilizing Federated Learning for Accurate Prediction of Covid-19 from CT Scan Images

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Chest Radiographs Based Pneumothorax Detection Using Federated Learning

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Guest Editorial Introduction to the Special Section on Computational Intelligence and Advanced Learning for Next-Generation Industrial IoT

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Efficient Personalized Recommendation Based on Federated Learning with Similarity Ciphertext Calculation

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Design of Privacy-Preserving in Multi-link Vehicle-Ground Communication

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Fuzzy Analysis for Consensus in Federated Learning with Simulated Heuristic Attacks

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A Federated Learning Secure Encryption Framework for Autonomous Systems

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A Maneuver in the Trade-Off Space of Federated Learning Aggregation Frameworks Secured with Polymorphic Encryption: PolyFLAM and PolyFLAP Frameworks

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TSPTE: Text sentiment-aware privacy protection method based on truncated exponent

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Federated Data Engineering Revolutionizing Privacy-Preserving Approaches to Distributed Data Integration

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A federated learning privacy preserving scheme for infrastructure-less vehicular networks

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Federated Learning in the Healthcare Industry

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Fed-EALE: Efficient Authentication With Lightweight Encryption for Federated Learning in Vehicular Ad-Hoc Networks Using SSI

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FL-KAN: A Federated Learning Framework with Kolmogorov-Arnold Networks and Confused Modulo Projection Homomorphic Encryption

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SCOPChain: A Blockchain Based Privacy Preserving Framework for Data Service CompositionPreprint

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FBFL: Flexible Byzantine-Robust Federated Learning With Privacy-Preserving

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rivacy-Aware Compression for Federated Learning: A Comprehensive Survey of Mechanisms, Methods, and Trade-offs

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EA$^{2}$2-FL: An Efficient and Authentication-Aware Privacy-Preserving Protocol for Federated Learning With Client Dropout Tolerance

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Secure and Efficient Momentum Federated Learning for Privacy-Preserving Data Mining

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Practical Multi-Key Secure Aggregation With Homomorphic Hash Verification for Cross-Silo Federated Learning

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Suspicious Login Detection Using Machine Learning Under a Federated Learning Framework

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Application of clustering search combined with federated learning in secure advertising delivery

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TruSMAS : Trust Score Enabled Multi‐Authority Authentication for Secure Data Transmission and Privacy Preservation

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BRITE-FL: Blockchain-based reputation and incentive token enhanced federated learning for IoT ecosystems

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Self-Healing and Self-Optimizing Network Control in 5G/6G-NTN Using Agentic AI Agents

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Privacy-Aware Data Sharing Using Improved Distributed Ledger Technologies in Intelligent Communication Networks

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SVTAgg: Secure, Verifiable, and Traceable Model Aggregation for Edge-Assisted Federated Learning

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IDFed: A privacy-preserving collaborative intrusion detection framework based on blockchain and federated learning

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Local Adaptive Differential Privacy for Federated Learning With Entity‐Aware Text and Feature‐Wise Clipping

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The Analysis of Multi-Scale Collaborative Optimization Scheduling for Electric Vehicle Clusters

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Privacy‐Preserving and Interpretable Stability Prediction in Smart Grids Using Explainable Federated Feature Selection

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Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation

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EvaFL: An Efficient Verifiable Privacy-Preserving Federated Learning Against Malicious Servers

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PRFL:Privacy-preserving Robust Aggregation Method for Federated Learning

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DPAD: Data Poisoning Attack Defense Mechanism for federated learning-based system

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Publicly Verifiable and Fault-Tolerant Privacy-Preserving Aggregation for Federated Learning

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