federated-learning

Documents about federated-learning

• FedPA-LoRA: Product-Aligned Framework for Mitigating Aggregation and Initialization Errors in Heterogeneous Federated LoRA#615350arXiv (All)
• FractalNet-Based Heterogeneous Federated Learning for Orbital Edge Intelligence in Satellite Mega-Constellations: A Wildfire Case Study#627659arXiv CS
• A multimodal federated learning framework for remote sensing image classification / Barış Büyüktaş, Gencer Sumbul, Begüm Demir#628956Deutsche Nationalbibliothek
• Edge-native intelligence for 6G communications driven by federated learning: a survey of trends and challenges#684850Enlighten Publications
• Federated learning from molecules to processes: A perspective / Jan Gerald Rittig, Clemens Josef Kortmann#780382Deutsche Nationalbibliothek
• SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning#385449OpenAlex
• Topology-Aware Differential Privacy in Hierarchical Federated Learning#633260arXiv (OAI Expanded)
• Topology-Aware Differential Privacy in Hierarchical Federated Learning#635609arXiv (All)
• Health-FedNet: secure federated learning for chronic disease prediction on MIMIC-III with differential privacy and homomorphic encryption.#1225NCBI PubMed Central
• Adaptive routing protocol for large-scale power internet of things based on edge computing and federated learning.#15063NCBI PubMed Central
• APB-FLDPA: Adaptive Personalized Blockchain-Federated Learning With Differential Privacy and Attention for Privacy-Preserving Healthcare Analytics.#138453NCBI PubMed Central
• A Multiparty Homomorphic Encryption Approach to Confidential Federated Kaplan Meier Survival Analysis#139113arXiv (OAI)
• Enhancing segmentation fairness through curriculum learning and progressive loss: a centralized and federated perspective on radiograph analysis.#150355NCBI PubMed Central
• A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency#177298Semantic Scholar
• EnFed: An Energy-aware Opportunistic Federated Learning in Resource Constrained Environments for Human Activity Recognition#189227arXiv (OAI)
• Federated Medical Image Segmentation under Real-World Label Noise: A Benchmark Suite for Noisy Label Learning Method Selection#280158arXiv CS
• CITADEL: a post-quantum secure blockchain framework for privacy-preserving electronic health records with temporally-partitioned federated learning.#288886NCBI PubMed Central
• When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair#303019Semantic Scholar
• Energy-Efficient Cryptographic Protocols for Sustainable IoT Security: A Federated Learning-Enhanced Lightweight Framework with Post-Quantum Resilience.#317781NCBI PubMed Central
• Federated Learning for Healthcare Informatics#335656OpenAlex
• Structural impact of non-IID heterogeneity on federated behavioral anomaly detection in IoT and IoMT systems.#338459NCBI PubMed Central
• Smart and Secure Healthcare with Digital Twins: A Deep Dive into Blockchain, Federated Learning, and Future Innovations#343084Semantic Scholar
• Feddsg: backdoor defense via semantic filter and geometric constraint in federated learning#365628Springer Nature OA
• Federated learning with unlabeled clients: Personalization can happen in low dimensions#415112ISTA Publications
• Dataset of round-level federated learning and layer-2 blockchain overhead from ten raspberry Pi edge clients.#455519NCBI PubMed Central
• Initialization Is Critical: Advancing Federated Short-Term Load Forecasting under Load Heterogeneity via Model Initialization#779707arXiv (OAI Expanded)
• Initialization Is Critical: Advancing Federated Short-Term Load Forecasting under Load Heterogeneity via Model Initialization#781082arXiv (All)
• Parser-Free VLM Verification for Federated Weakly Supervised Video Anomaly Detection#984376arXiv (All)
• Privacy-preserving multimodal federated learning pipeline for cyber-resilient healthcare systems.#9498PubMed
• Decision Trees in Federated Learning: Current State and Future Opportunities#404574OpenAlex
• FractalNet-Based Heterogeneous Federated Learning for Orbital Edge Intelligence in Satellite Mega-Constellations: A Wildfire Case Study#820877arXiv (All)
• Privacy Leakage in Federated Learning: Gradient-Based Client Identity Inference and Defenses for Inertial Sensing in Vehicular Edge Networks#973404arXiv (All)
• RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility#155545arXiv (OAI)
• Exploring Deep Federated Learning for the Internet of Things: A GDPR-Compliant Architecture#400624OpenAlex
• Explainable and secure federated learning for privacy-enhancing skin cancer classification using a lightweight multi-scale CNN.#1410NCBI PubMed Central
• Making head and neck cancer clinical data Findable-Accessible-Interoperable-Reusable to support multi-institutional collaboration and federated learning.#145939NCBI PubMed Central
• A Communication-Efficient, Privacy-Preserving Federated Learning Algorithm Based on Two-Stage Gradient Pruning and Differentiated Differential Privacy#303025Semantic Scholar
• Dual watermark authentication defense for federated learning: lossless integrity verification against model poisoning#324014Springer Nature OA
• TrustFed-RHIO: an optimization-driven differential privacy federated learning framework for secure and explainable IIoT attack detection.#340654NCBI PubMed Central
• Multi-modal personalized federated learning with adaptive differential privacy for medical image classification and a privacy-preserving approach.#368365NCBI PubMed Central
• FedCritic-MIMO: Communication-Efficient Serverless Federated Critic Learning for Massive-MIMO Resource Control in Open and Disaggregated 6G RANs#429309arXiv CS
• A novel intrusion detection system for IIoT in 5G networks using attention-augmented federated learning and lightweight transformer architectures.#431048NCBI PubMed Central
• Federated learning and edge computing-based collaborative detection system for IoT anomaly behavior#474086Springer Nature OA
• Privacy Leakage in Federated Learning: Gradient-Based Client Identity Inference and Defenses for Inertial Sensing in Vehicular Edge Networks#639636arXiv CS
• FedPromo: Federated Lightweight Proxy Models at the Edge Bring New Domains to Foundation Models#668298arXiv (OAI Expanded)
• FedPromo: Federated Lightweight Proxy Models at the Edge Bring New Domains to Foundation Models#670363arXiv (All)
• Privacy Leakage in Federated Learning in Radiology Reports: Comparative Evaluation of Tokenizer and Batch-Size Privacy Risks.#785623NCBI PubMed Central
• Federated LoRA Adaptation of BiomedCLIP Across Four International Chest X-Ray Cohorts#822503arXiv (All)
• SWB-DM: A Calibrated Sliced-Wasserstein-Barycenter Aggregator with Delayed-Momentum Caching for Byzantine-Robust Federated Learning under Partial Participation#919279arXiv CS
• Privacy-Preserving Heterogeneous Multi-LLM Federated Inference for Cognitive Diagnosis#921094arXiv (OAI Expanded)