Browse studies, page 342

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• Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing The Web Conference, 2025
• Federated Learning for Privacy-aware Cognitive Workload Estimation International Conference on Mobile and Ubiquitous Multimedia, 2023
• FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning SIGSPATIAL/GIS, 2023
• Personalized Differentially Private Federated Learning without Exposing Privacy Budgets International Conference on Information and Knowledge Management, 2023
• Homomorphic Encryption and Federated Learning based Privacy-Preserving CNN Training: COVID-19 Detection Use-Case European Interdisciplinary Cybersecurity Conference, 2022
• FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation Knowledge Discovery and Data Mining, 2023
• FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
• Turning Privacy-preserving Mechanisms against Federated Learning Conference on Computer and Communications Security, 2023
• Benefits of the Federation? Analyzing the Impact of Fair Federated Learning at the Client Level Conference on Fairness, Accountability and Transparency, 2025
• GuardFGL: Similarity-driven Federated Graph Learning with Adversarial Robustness and Membership Privacy Knowledge Discovery and Data Mining, 2025
• Adaptive Privacy-Budget Federated Ensemble with Meta-Learning and Contrastive Learning for Rare Fraud Detection Proceedings of the 2025 International conference on AI-Driven Business Transformation and Data Science Innovation, 2025
• OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning Knowledge Discovery and Data Mining, 2024
• Practical Federated Recommendation Model Learning Using ORAM with Controlled Privacy International Conference on Architectural Support for Programming Languages and Operating Systems, 2025
• Privacy-Preserving Asynchronous Vertically Federated Learning against Batch Level Label Inference Attacks Proceedings of the 2024 International Conference on Artificial Intelligence of Things and Computing, 2024
• Enhancing Privacy in Federated Learning: A Practical Assessment of Combined PETs in a Cross-Silo Setting Information Hiding and Multimedia Security Workshop, 2024
• A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy The Web Conference, 2023
• FedSC: Federated Learning with Semantic-Aware Collaboration Knowledge Discovery and Data Mining, 2025
• Federated Learning-enabled Network Incident Anomaly Detection Optimization for Drone Swarms International Conference of Distributed Computing and Networking, 2025
• Investigating Effective Speaker Property Privacy Protection in Federated Learning for Speech Emotion Recognition ACM Multimedia Asia, 2024
• A Non-centralized Federated Learning Architecture to Obtain Accurate Privacy Preserving Results International Conference on Computing and Artificial Intelligence, 2024
• Poster: End-to-End Privacy-Preserving Vertical Federated Learning using Private Cross-Organizational Data Collaboration Conference on Computer and Communications Security, 2024
• Breaking Privacy in Model-Heterogeneous Federated Learning International Symposium on Recent Advances in Intrusion Detection, 2024
• Mask-Based Personalised Federated Learning and Its Application to Healthcare Privacy Proceedings of the 2024 2nd International Conference on Artificial Intelligence, Systems and Network Security, 2024
• Decentralized Federated Learning with Local Differential Privacy and Comprehensive Neighbor Selection International Conference on Communication and Network Security, 2024
• Poster: Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning ACM Asia Conference on Computer and Communications Security, 2024
• Efficient Federated Learning based on Hybrid Weights and Differential Privacy Proceedings of the 2024 2nd International Conference on Computer, Internet of Things and Smart City, 2024
• Privacy-Preservation Robust Federated Learning with Blockchain-based Hierarchical Framework CMLDS, 2024
• PDFed: Privacy-Preserving and Decentralized Asynchronous Federated Learning for Diffusion Models Conference on Visual Media Production, 2024
• Personalized Privacy-Preserving Federated Learning International Middleware Conference, 2024
• FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning Knowledge Discovery and Data Mining, 2024
• A Cost-effective Framework for Privacy Preserving Federated Learning International Conference of Distributed Computing and Networking, 2024
• Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence Conference on Data and Application Security and Privacy, 2024
• Demo: FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & Analytics ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, 2024
• Integrating Federated Learning and Differential Privacy for Secure Anomaly Detection in Smart Grids International Conference on Cloud and Big Data Computing, 2024
• Improving Privacy in Federated Learning-Based Intrusion Detection for IoT Networks ACM Symposium on Applied Computing, 2024
• Cardinality Counting in "Alcatraz": A Privacy-aware Federated Learning Approach The Web Conference, 2024
• Towards Accurate and Stronger Local Differential Privacy for Federated Learning with Staircase Randomized Response Conference on Data and Application Security and Privacy, 2024
• Federated Learning Vulnerabilities: Privacy Attacks with Denoising Diffusion Probabilistic Models The Web Conference, 2024
• Optimizing Privacy in Federated Learning with MPC and Differential Privacy CACML, 2024
• FedCVD: Towards a Scalable, Privacy-Preserving Federated Learning Model for Cardiovascular Diseases Prediction International Conference on Machine Learning and Soft Computing, 2024
• MetaFL: Privacy-preserving User Authentication in Virtual Reality with Federated Learning ACM International Conference on Embedded Networked Sensor Systems, 2024
• Privacy-Preserving and Fairness-Aware Federated Learning for Critical Infrastructure Protection and Resilience The Web Conference, 2024
• Camel: Communication-Efficient and Maliciously Secure Federated Learning in the Shuffle Model of Differential Privacy Conference on Computer and Communications Security, 2024
• Privacy-Preserving Federated Learning using Flower Framework Knowledge Discovery and Data Mining, 2024
• PluralLLM: Pluralistic Alignment in LLMs via Federated Learning HumanSys@SenSys, 2025
• FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities The Web Conference, 2025
• FedRIR: Rethinking Information Representation in Federated Learning The Web Conference, 2025
• Blockchain-based Framework for Scalable and Incentivized Federated Learning The Web Conference, 2025
• PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning The Web Conference, 2025
• Publicly Verifiable and Fault-Tolerant Privacy-Preserving Aggregation for Federated Learning International Conference on Information and Knowledge Management, 2025
• Towards Privacy-Preserving Light Field Super-Resolution: A Federated Learning Approach International Conference on Computer Science and Artificial Intelligence, 2025
• A Federated Learning Scheme for Enhanced Privacy Protection and Resistance to Byzantine Attacks BDICN, 2025
• A Novel Chaotic-Map-Driven Privacy Protection Mechanism for Federated Learning Proceedings of the 2025 6th International Conference on Computer Science and Management Technology, 2025
• A Robust Aggregation Method Compatible with Differential Privacy in Federated Learning Proceedings of the 4th International Conference on Artificial Intelligence and Intelligent Information Processing, 2025
• Student Mental Health Risk Assessment Based on Federated Learning and Privacy-Preserving Mechanisms: Deep Neural Network Modeling and Analysis of Distributed Big Data Proceedings of the 2025 International Conference on Big Data and Informatization Education, 2025
• RPPFL: A Robust and Privacy-Preserving Framework for Federated Learning with Trusted Execution Environments Proceedings of the 2025 2nd International Conference on Big Data Analytics and Artificial Intelligence Application, 2025
• Fed-Brain: Privacy-Preserving Brain Tumour Classification Using Federated Learning Proceedings of the 2025 8th International Conference on Information Science and Systems, 2025
• An Efficient Privacy-Preserving Federated Learning Scheme for Collusion Resistance and Dropout Prevention BDICN, 2025
• Federated learning for privacy-preserving iot data aggregation in smart healthcare applications Proceedings of the 9th International Conference on Future Networks and Distributed Systems, 2025
• Confidential Federated Learning for Heterogeneous Platforms against Client-Side Privacy Leakages ACM Turing Celebration Conference, 2024
• Advanced Privacy Protection in Federated Learning using Server-initiated Homomorphic Encryption International Conference on Information and Knowledge Management, 2025
• Towards Privacy-Preserving and Explainable AI for Parkinson's Disease Diagnosis Using Federated Learning on MRI Data Proceedings of the International Workshop on Intelligent Immersification in the Metaverse: AI-Driven Immersive Multimedia, 2025
• Verifiability and Privacy in Federated Learning through Context-Hiding Multi-Key Homomorphic Authenticators BDCAT, 2025
• Federated Learning Framework for Self-Powered IoT Sensor Networks with Explainable AI: A Novel Approach for Sustainable and Privacy-Preserving Distributed Intelligence Proceedings of the 2025 6th International Conference on Big Data Economy and Information Management, 2025
• Detect & Score: Privacy-Preserving Misbehavior Detection and Contribution Evaluation in Federated Learning Proceedings of the International Workshop on Secure and Efficient Federated Learning, 2025
• FedRE: Robust and Effective Federated Learning with Privacy Preference International Conference on Multimedia Retrieval, 2025
• Towards Privacy-Preserving and Heterogeneity-aware Split Federated Learning via Probabilistic Masking Knowledge Discovery and Data Mining, 2025
• Poster: Adaptive Gradient Clipping with Personalized Differential Privacy for Heterogeneous Federated Learning Conference on Computer and Communications Security, 2025
• Design and Simulation of a Federated Learning-Based Multilateral Data Privacy Protection and Ethical Collaborative Governance Model for Cross-Border E-Commerce Proceedings of the 2025 5th International Conference on Internet of Things and Machine Learning, 2025
• Federated Learning and Differential Privacy Techniques on Multi-hospital Population-scale Electrocardiogram Data International Conference on Medical and Health Informatics, 2024
• A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy Proceedings of the 2025 International Conference on Artificial Intelligence and Foundation Model, 2025
• Federated Learning for AI-Assisted Education: Privacy-Preserving and Cross-Platform Collaborative Modeling in Higher Education Proceedings of the 2nd International Conference on Machine Intelligence and Digital Applications, 2025
• Cross-silo Federated Learning with Record-level Personalized Differential Privacy Conference on Computer and Communications Security, 2024
• FLock: Robust and Privacy-Preserving Federated Learning based on Practical Blockchain State Channels IACR Cryptology ePrint Archive, 2025
• Federated Learning for Privacy Preserving Intelligent Healthcare Application to Breast Cancer Detection International Conference of Distributed Computing and Networking, 2025
• Federated Learning with Differential Privacy: A Distributed Approach Zenodo (CERN European Organization for Nuclear Research), 2026
• FedRec: Privacy-Preserving News Recommendation with Federated Learning arXiv (Cornell University), 2020
• FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation arXiv (Cornell University), 2022
• Graph Federated Learning for Personalized Privacy Recommendation arXiv (Cornell University), 2025
• Adaptive Federated Learning with Differential Privacy Constraints Zenodo (CERN European Organization for Nuclear Research), 2026
• Federated Learning for Privacy-Preserving Data Analysis Zenodo (CERN European Organization for Nuclear Research), 2026
• Trade Privacy for Utility: A Learning-Based Privacy Pricing Game in Federated Learning arXiv (Cornell University), 2023
• PPSFL: Privacy-preserving Split Federated Learning via Functional Encryption 2023
• Balancing Privacy Protection and Interpretability in Federated Learning arXiv (Cornell University), 2023
• Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method arXiv (Cornell University), 2020
• Differential Privacy with Federated Learning for Personalized Healthcare Zenodo (CERN European Organization for Nuclear Research), 2026
• Context-Aware Federated Learning with Differential Privacy Zenodo (CERN European Organization for Nuclear Research), 2026
• Federated Learning for Privacy-Preserving Medical AI arXiv (Cornell University), 2026
• BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning arXiv (Cornell University), 2020
• Incentive Mechanism for Privacy-Preserving Federated Learning arXiv (Cornell University), 2021
• Decentralized Wireless Federated Learning with Differential Privacy arXiv (Cornell University), 2021
• CPFed: Communication-Efficient and Privacy-Preserving Federated Learning arXiv (Cornell University), 2020
• PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning arXiv (Cornell University), 2022
• Federated Quantum Machine Learning with Differential Privacy arXiv (Cornell University), 2023
• Fairness and Privacy in Federated Learning and Their Implications in Healthcare arXiv (Cornell University), 2023
• Privacy-Preserving Federated Learning on Partitioned Attributes arXiv (Cornell University), 2021
• Privacy Threats Analysis to Secure Federated Learning arXiv (Cornell University), 2021
• FedPH: Privacy-enhanced Heterogeneous Federated Learning arXiv (Cornell University), 2023
• Federated Learning on Riemannian Manifolds with Differential Privacy arXiv (Cornell University), 2024
• FLVoogd: Robust And Privacy Preserving Federated Learning arXiv (Cornell University), 2022