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• Research on Autonomous Path Planning and Control Strategy of UAV Based on Multi-Objective Optimization
  preprints 2025 置信度 0.74
• A Federated Cascade Learning Approach for Efficient Occupancy Detection in Smart Buildings
  preprints 2025 置信度 0.74
• Federated Reinforcement Learning Framework for Privacy Preserving Few Shot Learning
  Abstract This study introduces a federated reinforcement learning framework for few-shot learning (FRL-FSL), aiming to address the dual challenges of data scarcity and privacy preservation in distributed environments. The proposed framework integrates policy g…
  preprints Minsoo Kang, Jihye Park, Donghyun Choi, Seoyeon Kim 2025 置信度 0.74
• Standardized Evaluation of Federated Human-Centric ITS: Integrating Multimodal Interaction and Cross-Regional Scalability
  preprints 2025 置信度 0.74
• A Review of Resilient IoT Systems: Trends, Challenges, and Future Directions
  preprints 2025 置信度 0.74
• Standardized Evaluation of Federated Human-Centric ITS: Integrating Multimodal Interaction and Cross-Regional Scalability
  preprints 2025 置信度 0.74
• Optimizing Task Offloading and Resource Management in Next- Generation 6G Networks Using an Intelligent Hierarchical Edge- Fog-Cloud Computing Architecture with Reinforcement Learning and Federated Intelligence
  preprints 2025 置信度 0.74
• FedSER-XAI: PSO-Optimized Multi-StreamCross-Attention Transformer with Graph Featuresfor Explainable Federated Speech EmotionRecognitione
  preprints 2025 置信度 0.74
• Next-Generation Enterprise AI: From Foundation Models to Federated and Secure Cloud Systems
  preprints 2025 置信度 0.74
• FlowSocial: A Dynamic Clustering-Based Federated Recommender System for Privacy-Preserving Social Media Personalization
  preprints 2025 置信度 0.74
• FedS-SLAM: A Federated Semantic Collaborative SLAM System for UAV Swarms in Dynamic
  preprints 2025 置信度 0.74
• A Survey of Contrastive Learning in Medical AI: Foundations, Biomedical Modalities, and Future Directions
  Medical artificial intelligence (AI) systems depend heavily on high-quality data representations to enable accurate prediction, diagnosis, and clinical decision-making. Yet, the availability of large, well-annotated medical datasets is often limited by cost, p…
  preprints 2025 置信度 0.74
• Time-Aware Security Intelligence for Federated Financial Systems: Deep Reinforcement Learning Against Temporal Poisoning Attacks
  preprints 2025 置信度 0.74
• A Review on Machine Learning Applications in Chance-Constrained Power System Optimization
  preprints 2025 置信度 0.74
• Recent Advancements and Trends in Artificial Intelligence from the Information Security Perspective: A Systematic Review
  preprints 2026 置信度 0.74
• Deep Learning–based IDS framework for Cloud Data Security
  preprints 2025 置信度 0.74
• A Privacy-Enhanced Multi-Stage Dimensionality Reduction Vertical Federated Clustering Framework
  preprints 2025 置信度 0.74
• Quantum-Enhanced Federated Chaotic Transformer Framework for Ultra-Low Latency and Secure Multi-Site Telesurgery in 6G- Enabled Networks
  preprints 2025 置信度 0.74
• Blockchain-Governed Federated Learning with Sparse-Causal Bi- RNN Transformer Net for Secure and Intelligent Healthcare Analytics
  preprints 2025 置信度 0.74
• AI-Powered Federated Framework for Personalized, Privacy Preserving, and Sustainable Meal Planning
  preprints 2025 置信度 0.74
• Advances in Deep Learning for Medical Imaging: Foundations, Evolution, and Impact
  preprints 2025 置信度 0.74
• The Sovereign SOC: A Simulation Framework for Quantum-Enhanced Federated Security Operations
  Traditional Security Operations Centers (SOCs) lack physical-layer visibility and suffer from high false positive rates, leaving critical infrastructure vulnerable to hardware implants and electromagnetic side-channel attacks. This paper presents the Sovereign…
  preprints 2025 置信度 0.74
• FedMedSecure: Federated Few-Shot Learning with Cross-Attention Mechanisms and Explainable AI for Collaborative Healthcare Cybersecurity
  preprints 2025 置信度 0.74
• Machine learning for predicting clinical outcomes in emergency department patients with acute respiratory infections: A scoping review
  Abstract Machine learning approaches, including deep learning, are increasingly applied in healthcare, particularly for developing models that support clinical prediction and decision-making. In this context, acute respiratory infections represent a critical c…
  preprints 2026 置信度 0.74
• Federated Quantum Machine Learning for Distributed Cybersecurity in Multi-Agent Energy Systems
  preprints 2025 置信度 0.74
• Human Activity Recognition in the Deep Learning Era: Different Modalities, Recent Advances in Applications, and Emerging Techniques
  preprints 2025 置信度 0.74
• UAV Mission Planning for Post-Disaster Victim Localisation via Federated Reinforcement Learning
  Abstract Rapid localisation of trapped victims after urban disasters is essential but remains difficult due to signal intermittency, energy constraints, and the impracticality of training multi-UAV coordination policies solely through real-world flights. This …
  preprints Alparslan GUZEY 2025 置信度 0.74
• A Federated and Privacy-Preserving Architecture for Scalable Collaborative Spam Detection in Distributed Multi-Cloud Environments
  europepmc 2025 置信度 0.80
• CasDyF-Net: Transforming Single-Image Dehazing through Federated and Adaptive CNNs
  preprints 2025 置信度 0.74
• NeuroChainOps: A Privacy-Preserving, Blockchain-Backed MLOps Framework for Federated Neural Architecture Search
  preprints 2025 置信度 0.74
• The Role of Artificial Intelligence in Next-Generation Handover Decision Techniques for UAVs over 6G Networks
  preprints 2025 置信度 0.74
• AI-Driven Threat Detection and Response: Toward Autonomous Cyber Defense Systems
  Abstract The increasing sophistication of cyber threats in modern digital infrastructures necessitates intelligent, autonomous defense mechanisms capable of responding faster and more accurately than humans. This study introduces an AI-Driven Threat Detection …
  preprints 2025 置信度 0.74
• NeuroSense: A Computational AI Model for Continuous Psychological State Prediction
  An emerging interdisciplinary challenge in artificial intelligence, computational psychology, and neuroscience is the ongoing evaluation of human psychological states. Conventional mental-state assessments rely on clinical interviews and episodic, subjective s…
  preprints 2025 置信度 0.74
• AI-Driven Network Management and Optimization
  preprints 2025 置信度 0.74
• Federated Defense: A Privacy-Preserving Deep Learning Model for IoT Malware Detection
  Abstract As the Internet of Things (IoT) continues to expand, securing the vast network of IoT devices, particularly in Machine-to-Machine (M2M) communication, has become a critical concern. Traditional security approaches often fall short, particularly in pro…
  preprints Sohail Abbas, Mohammad Abrar, Mian Ahmad Jan, Osman Abul 2025 置信度 0.74
• Federated Graph Neural Networks for Heterogeneous Graphs with Data Privacy and Structural Consistency
  preprints 2025 置信度 0.74
• Modular Federated Cross-Domain Recommendation (MFCDR) with a Projected Attention Network
  preprints 2025 置信度 0.74
• Real-Time and Offline Large Language Models on Edge Devices: A Systematic Review
  preprints 2025 置信度 0.74
• Integrated Systems Oncology: A Multimodal Framework for Addressing Cancer Heterogeneity
  preprints 2025 置信度 0.74
• A Federated Meta-Learning Aided Intelligent Edge Framework by Using the Parameter Optimization Approach
  Abstract Edge intelligence can enable fast intelligent services by integrating edge computing with machine learning, thereby facilitating intelligent information processing for Internet of Things (IoT) devices on the edge. However, intelligent data processing …
  preprints Xiaofeng Zhu, Qiaosong Fan, Jiaqiang Peng, Yuwen Qian 2025 置信度 0.74
• A privacy preserving federated clustering algorithm for data imbalance based on density peak clustering and Gaussian distribution simulation data
  preprints 2025 置信度 0.74
• Genetic Insights of Image-Based Traits: Analysis Pipeline for AI-based Phenotyping, Combined-GWAS, and Federated Learning with Application to the Human Face
  preprints 2025 置信度 0.74
• YOLO-LS: A Novel Deep Learning Framework for Brain Tumor Segmentation in Magnetic Resonance Imaging
  preprints 2025 置信度 0.74
• Beyond Compliance: A Techno-Geopolitical Framework for Scalable AI Resilience in Critical Infrastructure Along the NATO-EU Eastern Flank
  preprints 2025 置信度 0.74
• Lightweight Adaptive Feature Aggregation Network for Cross-Domain Defect Detection in Data-Scarce L-DED Processes
  preprints 2025 置信度 0.74
• Fair Client Selection and Encrypted Aggregation: A Federated Learning Framework for Intrusion Detection in Resource-Constrained Networks
  preprints 2025 置信度 0.74
• Blockchain-Enabled Federated Learning with Edge Analytics for Secure and Efficient Electronic Health Records Management
  Abstract The rapid adoption of Federated Learning (FL) in privacy-sensitive domains such as healthcare, IoT, and smart cities highlights its potential to enable collaborative machine learning without compromising data ownership. However, conventional FL framew…
  preprints Munusamy S, Jothi K R 2025 置信度 0.74
• Sustainable Computing for Digital Livestock: Reconciling Artificial Intelligence with Planetary Boundaries
  preprints 2025 置信度 0.74
• Quantum-Classical Federated Learning: Enhancing Robustness Against Backdoor Attacks in Non-IID Environments
  preprints 2025 置信度 0.74
• Safety-Constrained Real-Time Decision Making for Autonomous Vehicles via NEURAL-QWEN
  preprints 2025 置信度 0.74
• Artificial Intelligence in Drug Discovery: A New Paradigm from Target Identification to Clinical Translation
  preprints 2025 置信度 0.74
• jabbrv-ltwa-all.ldf jabbrv-ltwa-en.ldf FedParallel: A Federated Learning Framework for Campus Network Anomaly Traffic Detection
  preprints 2025 置信度 0.74
• A Secure and Explainable Federated Intrusion Detection System Using Deep Learning and Metaheuristic Optimization for Healthcare IoT
  europepmc 2025 置信度 0.80
• Application of Machine Learning in Hypertension Research and Management in Nigeria: A Systematic Review
  preprints 2025 置信度 0.74
• Distributed Learning for Heart Disease Risk Prediction Based on Key Clinical Parameters with Evaluation Metrics Analysis
  preprints 2025 置信度 0.74
• Federated Learning for XSS Detection: Analysing OOD, Non-IID Challenges, and Embedding Sensitivity
  preprints 2025 置信度 0.74
• Dynamic Task Offloading in Vehicular NetworksUsing Large Language Models: A Novel EdgeIntelligence Framework for Adaptive, Low-Latency,and Energy-Aware Decision Making
  preprints 2025 置信度 0.74
• AI-Powered Wearable Sensors for Health Monitoring and Clinical Decision Making
  preprints 2025 置信度 0.74
• Adaptive Normalization Enhances the Generalization of Deep Learning Model in Chest X-Ray Classification
  preprints 2025 置信度 0.74
• Hierarchical Mean-Field Theory-based Off-Policy GRPO for Federated Edge Learning in Resource-Constrained Edge Computing
  preprints 2025 置信度 0.74
• The ε-Streamably-Learnable Class: A Constructive Framework for Operator-Based Optimization
  preprints 2025 置信度 0.74
• Integrating Artificial Intelligence With Federated Learning and Internet of Medical Things for Healthcare Sector: an Analysis With Alzheimer Dataset
  preprints 2025 置信度 0.74
• Adaptive QoS Management in OneM2M Standard: Machine Learning and Deep Learning for IoT Network Optimization
  preprints 2025 置信度 0.74
• Development, implementation, and validation of an open-source Federated Learning platform to accelerate innovation and boost personalized medicine in rare and ultra-rare haematological diseases: an initiative by GenoMed4All Consortium
  preprints 2025 置信度 0.74
• Privacy-Enhancing Technologies for Federated Learning
  crossref Zahra Batool, Baturalp Buyukates, Reza Nourmohammadi, Kaiwen Zhang 2025-04-26T02:21:30Z 置信度 0.70
• Cloud-based Federated Learning for Distributed IoT Networks
  The Internet of Things (IoT) has led to an explosion of connected devices generating massive amounts of data at the network edge. Traditional centralized machine learning approaches face challenges in processing this distributed data due to privacy concerns, c…
  crossref Rahul Modak 2025-05-28T17:18:34Z 置信度 0.70
• Federated Learning in Heterogeneous Unmanned Aerial Vehicle
  crossref N. Sathish, D. Manibharathi, V. Yokesh, Danilo Pelusi 2025-06-20T18:53:47Z 置信度 0.70
• Fundamentals of Cybersecurity
  crossref Hamed Tabrizchi, Ali Aghasi 2025-04-23T18:07:50Z 置信度 0.70
• Deciphering One-Shot Federated Learning: The Pivotal Role of Pretrained Models
  crossref Lingyu Qiu, Daniela Annunziata, Fabio Giampaolo, Francesco Piccialli 2025-12-02T17:01:43Z 置信度 0.70
• Client Selection in Federated Learning: Challenges, Strategies, and Contextual Considerations
  crossref Mehreen Tahir, Muhammad Intizar Ali 2025-04-27T04:39:26Z 置信度 0.70
• Wireless for AI: Distributed and Federated Learning
  crossref 2025-10-21T00:05:29Z 置信度 0.70
• FedPETv1: Edge-Aware Federated Learning with Differential Privacy for Distributed Medical Diagnostics
  crossref Shan-cang Li, Shanshan Zhao, Yongjian Ding 2025-12-02T17:01:43Z 置信度 0.70
• Frugal Federated Learning for Violence Detection: A Comparison of LoRA-Tuned VLMs and Personalized CNNs
  crossref Sébastien Thuau, Siba Haidar, Ayush Bajracharya, Rachid Chelouah 2026-01-20T20:38:34Z 置信度 0.70
• Real-world implementation and application of federated medical image segmentation
  crossref Liansheng Wang, Jiacheng Wang, Jing Yang, Xinyi Tan 2025-03-07T12:49:32Z 置信度 0.70
• Foundation of Blockchain and Federated Learning for Secure and Decentralized Data Management
  crossref Sonali Dhananjay Patil, Niharika Pagare 2025-08-01T12:15:01Z 置信度 0.70
• Organization Committee
  crossref 2026-01-20T20:38:34Z 置信度 0.70
• Survey of Privacy Threats and Countermeasures in Federated Learning
  crossref Masahiro Hayashitani, Junki Mori, Isamu Teranishi 2026-01-20T20:38:34Z 置信度 0.70
• Copyright Page
  crossref 2026-01-20T20:38:34Z 置信度 0.70
• Encrypted Federated Learning for Edge Robotics Under Constraints
  Abstract Edge robotics increasingly relies on on-device learning from sensitive operational data, yet communication limits, energy budgets, and safety obligations constrain what can be transmitted or centrally stored. Encrypted federated learning (EFL) offers …
  crossref Murali Krishna Pasupuleti 2026-02-06T12:47:21Z 置信度 0.70
• Federated Issues in Cross-Device Federated Recommendation
  crossref Xiangjie Kong, Lingyun Wang, Mengmeng Wang, Guojiang Shen 2025-03-07T10:13:07Z 置信度 0.70
• Federated Learning in Image Processing for Clothes Recognition
  crossref Madhuri Gupta, Harhsit Budhraja, Nipun Bhardwaj, Lakshit Agarwal 等 2025-10-03T21:19:49Z 置信度 0.70
• Fed-DPRoC: Communication-Efficient Differentially Private and Robust Federated Learning
  crossref Yue Xia, Tayyebeh Jahani-Nezhad, Rawad Bitar 2026-01-20T20:38:34Z 置信度 0.70
• Review for "IoT-Enabled Electric Load Prediction via Federated Label Distribution Learning"
  crossref 2025-11-18T21:06:43Z 置信度 0.70
• Client-Aware Model Aggregation for Non-IID Data in Federated Learning
  crossref Weld L. Cunha, Luis F. G. Gonzalez, Daniel L. Guidoni, Leandro A. Villas 2026-01-20T20:38:34Z 置信度 0.70
• Advancing AI Integration in Healthcare Using Federated Learning
  With the growing demand for secure, intelligent, and collaborative healthcare systems, Federated Learning (FL) has emerged as a transformative approach for developing AI models without exposing sensitive patient data. This chapter provides a detailed overview …
  crossref Mandeep Singh, Gaganjot Kaur, Pranshu Saxena, Megha Sharma 2025-10-30T14:01:36Z 置信度 0.70
• Introduction
  crossref Xiaoxiao Li, Ziyue Xu, Huazhu Fu 2025-03-07T12:49:29Z 置信度 0.70
• Proceedings of the International Workshop on Secure and Efficient Federated Learning
  crossref 2025-07-15T07:07:04Z 置信度 0.70
• Preface
  crossref Xiaoxiao Li, Ziyue Xu, Huazhu Fu 2025-03-07T12:49:09Z 置信度 0.70
• Title Page
  crossref 2026-01-20T20:38:34Z 置信度 0.70
• FELM: A Federated and Explainable Learning Framework for Secure and Interpretable E-Learning Environments
  crossref Mnar Alnaghes 2025-11-11T22:38:26Z 置信度 0.70
• Review for "IoT-Enabled Electric Load Prediction via Federated Label Distribution Learning"
  crossref 2025-11-18T21:06:43Z 置信度 0.70
• Securing and Managing Data in Federated Learning for Healthcare Cyber-Physical Systems
  crossref Rucha Shinde, Rachana Patil, Arijit Karati 2025-08-01T12:15:01Z 置信度 0.70
• Privacy-Preserving Feature Valuation in Vertical Federated Learning Using Shapley-CMI and PSI Permutation
  crossref Unai Laskurain, Aitor Aguirre-Ortuzar, Urko Zurutuza 2026-01-20T20:38:34Z 置信度 0.70
• Differential privacy
  crossref Moritz Knolle, Georgios Kaissis 2025-03-07T12:49:29Z 置信度 0.70
• LiteFBD: Lightweight CNN Design with Federated Block-wise Knowledge Distillation for Federated Learning
  crossref Dae Cheol Kwon, Xinyu Zhang 2026-01-06T18:33:45Z 置信度 0.70
• Strategies to Improve Federated Forecasts of Day-Ahead PV Power Production
  crossref Viktor Walter, Andreas Wagner 2026-01-20T20:38:34Z 置信度 0.70
• Federated Learning in der Arbeitsplanung
  Abstract Die Aufbereitung von praxisnahen Trainingsdatensätzen für Deep Learning in der Arbeitsplanung ist eine große Herausforderung. Die Datengrundlage aktueller Ansätze basiert auf synthetisch erstellten 3D-Modellen. Eine solche synthetisierte Generierung v…
  crossref Marco Hussong, Matthias Klar, Jan C. Aurich 2025-03-28T08:56:54Z 置信度 0.70
• Survey on Privacy-Preserving Techniques for Federated Learning
  crossref Jiaqi Lu 2025-09-30T10:02:31Z 置信度 0.70
• Federated Learning-Based Algorithms for Deployment and Model Optimization
  crossref S. Jayachitra, A. Meenambika, M. Balasubramani, Korhan Cengiz 2025-06-20T18:53:47Z 置信度 0.70
• CA-PPO: Collision-Aware Reinforcement Learning for Grant-Free NOMA in Wireless Federated Learning
  crossref Emmanuel Atebawone 2025-12-17T15:44:01Z 置信度 0.70