AegisHealth: Private Health Anomaly Detection with Federated Learning
AegisHealth: Private Health Anomaly Detection with Federated Learning
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This presentation delves into AegisHealth, a federated learning (FL) framework tailored for healthcare, with an emphasis on privacy and addressing non-IID data challenges. It discusses project objectives, including the integration of advanced privacy tools, and provides a comprehensive literature review contrasting existing frameworks with AegisHealth’s innovative approach. Key tools, technologies, and system architecture are covered, alongside practical use cases for ML engineers and system...