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federated learning

GeneTech 知识引擎共收录 295 篇相关科研实体，横跨 7 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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代表性文献（按质量分排序，前 60 条）

• Digital Twin-Enabled Dynamic Aggregation for Efficient Federated Learning.
  2026 · 数字孪生 · Federated learning (FL) enables collaborative model training without sharing raw data, but it faces challenges due to client heterogeneity, leading to inefficiency and reduced accuracy. This paper proposes a digital twin…
• AdaptFedAvg: Privacy-Preserving Topic Difficulty Modeling in Heterogeneous Smart Classroom Networks
  2026 · 隐私计算与数据要素 · AdaptFedAvg is a privacy-preserving federated learning framework for topic difficulty modeling in heterogeneous smart classroom networks. Educational institutions generate large volumes of student interaction data, but p…
• AdaptFedAvg: Privacy-Preserving Topic Difficulty Modeling in Heterogeneous Smart Classroom Networks
  2026 · 隐私计算与数据要素 · AdaptFedAvg is a privacy-preserving federated learning framework for topic difficulty modeling in heterogeneous smart classroom networks. Educational institutions generate large volumes of student interaction data, but p…
• MedLedgerFL: a hybrid blockchain-federated learning framework for secure remote healthcare services.
  2026 · 隐私计算与数据要素 · The fast growth of telemedicine has made it clear that we need safe, cooperative, and privacy-protecting ways to handle sensitive medical information. Traditional centralised predictive model training methods have proble…
• The Federated Tumor Segmentation Challenge 2027
  2026 · 隐私计算与数据要素 · International challenges have become the standard for validation of biomedical image analysis methods. We argue, though, that the actual performance even of the winning algorithms on ``real-world`` clinical data often re…
• The Federated Tumor Segmentation Challenge 2027
  2026 · 隐私计算与数据要素 · International challenges have become the standard for validation of biomedical image analysis methods. We argue, though, that the actual performance even of the winning algorithms on ``real-world`` clinical data often re…
• Extraction Workbook — Trustworthy Knowledge Distillation in Federated Learning: A Systematic Review of Proxy Data Strategies
  2026 · 隐私计算与数据要素 · This dataset contains the complete data-extraction workbook of the systematic literature review "Trustworthy Knowledge Distillation in Federated Learning: A Systematic Review of Proxy Data Strategies". The review, conduc…
• Extraction Workbook — Trustworthy Knowledge Distillation in Federated Learning: A Systematic Review of Proxy Data Strategies
  2026 · 隐私计算与数据要素 · This dataset contains the complete data-extraction workbook of the systematic literature review "Trustworthy Knowledge Distillation in Federated Learning: A Systematic Review of Proxy Data Strategies". The review, conduc…
• BioMutFed+: Reproducibility Artifacts (TMC-2025-09-2616)
  2026 · 隐私计算与数据要素 · Reproducibility artifacts for "BioMutFed+: Mutation-Driven Federated Learning for IIoT," IEEE Transactions on Mobile Computing (TMC-2025-09-2616). Two Jupyter notebooks reproduce the ten-seed Wisconsin Breast Cancer eval…
• BioMutFed+: Reproducibility Artifacts (TMC-2025-09-2616)
  2026 · 隐私计算与数据要素 · Reproducibility artifacts for "BioMutFed+: Mutation-Driven Federated Learning for IIoT," IEEE Transactions on Mobile Computing (TMC-2025-09-2616). Two Jupyter notebooks reproduce the ten-seed Wisconsin Breast Cancer eval…
• Federated learning for privacy-preserving, secure and scalable data intelligence in hybrid cloud systems
  2026 · 隐私计算与数据要素 · The convergence of federated learning and hybrid cloud computing represents a transformative paradigm for privacy-preserving data intelligence. This review examines federated learning implementations in hybrid cloud envi…
• Federated learning for privacy-preserving, secure and scalable data intelligence in hybrid cloud systems
  2026 · 隐私计算与数据要素 · The convergence of federated learning and hybrid cloud computing represents a transformative paradigm for privacy-preserving data intelligence. This review examines federated learning implementations in hybrid cloud envi…
• Dual asymmetric momentum improves federated class unlearning in edge systems (Code and Reproducibility Scripts)
  2026 · 隐私计算与数据要素 · This Zenodo record provides the reference implementation of FedDAM, a parameter-efficient post-hoc federated class unlearning method designed for resource-constrained edge deployments. The release includes training and u…
• Dual asymmetric momentum improves federated class unlearning in edge systems (Code and Reproducibility Scripts)
  2026 · 隐私计算与数据要素 · This Zenodo record provides the reference implementation of FedDAM, a parameter-efficient post-hoc federated class unlearning method designed for resource-constrained edge deployments. The release includes training and u…
• Evaluación de Mecanismos Semiasíncronos Deterministas y Adaptativos en Aprendizaje Federado
  2026 · 隐私计算与数据要素 · El aprendizaje automático ha evolucionado significativamente en los últimos años, expandiendo su aplicación a entornos de Internet de las Cosas (IoT), donde estas técnicas poseen un gran potencial en sectores como la mej…
• Evaluación de Mecanismos Semiasíncronos Deterministas y Adaptativos en Aprendizaje Federado
  2026 · 隐私计算与数据要素 · El aprendizaje automático ha evolucionado significativamente en los últimos años, expandiendo su aplicación a entornos de Internet de las Cosas (IoT), donde estas técnicas poseen un gran potencial en sectores como la mej…
• Scaling Smart Cities with Federated Learning: Balancing Accuracy and Privacy for Building Energy Performance Prediction
  2026 · 隐私计算与数据要素 · The building energy sector is a significant contributor to carbon emissions, thereby playing a crucial role in driving global sustainability efforts to achieve the net-zero targets outlined in the Paris Climate Agreement…
• Coded evidence base for a PRISMA-guided systematic review of reporting fragmentation in federated-learning-based intrusion detection systems
  2026 · 隐私计算与数据要素 · The complete coded evidence base underlying a PRISMA-guided systematic review of reporting fragmentation in federated-learning-based network intrusion detection systems (FL-NIDS): the per-study extraction table for all 1…
• Coded evidence base for a PRISMA-guided systematic review of reporting fragmentation in federated-learning-based intrusion detection systems
  2026 · 隐私计算与数据要素 · The complete coded evidence base underlying a PRISMA-guided systematic review of reporting fragmentation in federated-learning-based network intrusion detection systems (FL-NIDS): the per-study extraction table for all 1…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• HemaFAIR & HELIOS Federated Analysis Hackathon (Cyprus, May 2026): Training Resources and Datasets
  2026 · 隐私计算与数据要素 · This Zenodo record contains the training and educational materials developed and used during the HemaFAIR and HELIOS Federated Data Analysis Training School and Hackathon, held at Alion Beach Hotel in Ayia Napa, Cyprus, …
• HemaFAIR & HELIOS Federated Analysis Hackathon (Cyprus, May 2026): Training Resources and Datasets
  2026 · 隐私计算与数据要素 · This Zenodo record contains the training and educational materials developed and used during the HemaFAIR and HELIOS Federated Data Analysis Training School and Hackathon, held at Alion Beach Hotel in Ayia Napa, Cyprus, …
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• vantage6
  2026 · 隐私计算与数据要素 · Vantage6 stands for privacy preserving federated learning infrastructure for secure insight exchange. The project is inspired by the Personal Health Train (PHT) concept. In this analogy vantage6 is the tracks and station…
• Federated Correction of Batch Effects & Heterogeneity in Single-cell and Multi-omics Genomics (privacy-preserving)
  2026 · 隐私计算与数据要素 · The rapid proliferation of genomic data from large‑scale sequencing initiatives presents unprecedented opportunities for precision medicine, population genomics and biotechnology. However, the sensitive nature of genomic…
• Blockchain-based personalized federated learning framework for drug recommendation systems resilient to model poisoning
  2026 · 隐私计算与数据要素 · Abstract Federated learning enables multiple healthcare entities to collaboratively train a global model while ensuring patient data privacy through local model training without sharing raw data. However, FL remains vuln…
• DFCA: Decentralized Federated Clustering Algorithm
  2026 · 隐私计算与数据要素 · Clustered Federated Learning has emerged as an effective approach for handling heterogeneous data across clients by partitioning them into clusters with similar or identical data distributions. However, most existing met…
• SplitML: A Unified Privacy-Preserving Architecture for Federated Split-Learning in Heterogeneous Environments
  2026 · 隐私计算与数据要素 · While Federated Learning (FL) and Split Learning (SL) aim to uphold data confidentiality by localized training, they remain susceptible to adversarial threats such as model poisoning and sophisticated inference attacks. …

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