Tag: federated learning
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UMEDA: Efficient Privacy-Preserving Graph Federated Learning
Discover UMEDA, a novel framework enhancing privacy, accuracy, and efficiency in multi-modal graph federated learning for device-free localization.
FairHealth: Open-Source Python AI for Healthcare Equity
FairHealth is an open-source Python library enhancing fairness, privacy, and explainability in healthcare AI for low-resource settings worldwide.
Privacy-Preserving Federated Learning Using Zero-Knowledge Proofs
Enhance federated learning privacy and security with zero-knowledge proofs in scalable distributed systems, preventing attacks and ensuring data integrity.
REED Method for Efficient Over-the-Air Federated Learning
Discover the REED approach enhancing over-the-air federated learning by reducing latency and improving aggregation without CSI dependency.
HARMONY: Enhancing Hybrid Split Federated Learning Accuracy
Discover how HARMONY bridges personalization and generalization gaps in federated learning by mitigating representation skew in heterogeneous client models...