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Privacy Preserving

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Showing 1001–1025 of 2975 papers

TitleStatusHype
Efficient Data Distribution Estimation for Accelerated Federated Learning—0
Privacy Leakage Overshadowed by Views of AI: A Study on Human Oversight of Privacy in Language Model Agent—0
FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation—0
Efficient Cross-Domain Federated Learning by MixStyle Approximation—0
FedCom: A Byzantine-Robust Local Model Aggregation Rule Using Data Commitment for Federated Learning—0
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants—0
Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning—0
FedCPC: An Effective Federated Contrastive Learning Method for Privacy Preserving Early-Stage Alzheimer's Speech Detection—0
A privacy-preserving, distributed and cooperative FCM-based learning approach for cancer research—0
FedCTTA: A Collaborative Approach to Continual Test-Time Adaptation in Federated Learning—0
Efficient and Private: Memorisation under differentially private parameter-efficient fine-tuning in language models—0
Efficient and Privacy Preserving Group Signature for Federated Learning—0
FedDCT: A Dynamic Cross-Tier Federated Learning Framework in Wireless Networks—0
Efficient and Personalized Mobile Health Event Prediction via Small Language Models—0
FedDICE: A ransomware spread detection in a distributed integrated clinical environment using federated learning and SDN based mitigation—0
FedDiSC: A Computation-efficient Federated Learning Framework for Power Systems Disturbance and Cyber Attack Discrimination—0
FedDis: Disentangled Federated Learning for Unsupervised Brain Pathology Segmentation—0
FedDMF: Privacy-Preserving User Attribute Prediction using Deep Matrix Factorization—0
FedDP: Privacy-preserving method based on federated learning for histopathology image segmentation—0
FedDQ: Communication-Efficient Federated Learning with Descending Quantization—0
Cali3F: Calibrated Fast Fair Federated Recommendation System—0
FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels—0
A privacy-preserving distributed computational approach for distributed locational marginal prices—0
Active Inference for Energy Control and Planning in Smart Buildings and Communities—0
PA-CFL: Privacy-Adaptive Clustered Federated Learning for Transformer-Based Sales Forecasting on Heterogeneous Retail Data—0
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