Tag: privacy-preserving AI
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Adaptive Differential Privacy for Federated Medical Image Segmentation
Enhance medical image segmentation with adaptive differential privacy in federated learning, ensuring privacy and high accuracy across diverse imaging moda...
AEGIS: Efficient Multi-GPU Scaling for Encrypted Transformer Inference
Discover AEGIS, a hybrid parallelism framework that scales long-sequence homomorphic encrypted Transformer inference efficiently on multi-GPU systems.
Zero-Shot Analysis of Classroom Attention Using LLMs
Explore privacy-preserving zero-shot analysis of student attention in classrooms using LLMs and multimodal behavior insights without storing video data.
FedKLPR: Efficient Federated Learning for Person Re-ID
Discover FedKLPR, a communication-efficient federated learning framework enhancing person re-identification with pruning and KL-divergence techniques.
Implicit Execution Tracing for Multi-Agent Text Attribution
Discover how Implicit Execution Tracing ensures accountability in multi-agent systems by embedding provenance in final text without execution logs.