Tag: adversarial machine learning
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FedPF: Balancing Privacy, Fairness & Utility in Federated Learning
Discover FedPF, a federated learning algorithm that ensures privacy and fairness while maintaining high accuracy and low bias in AI models.
Solving Entropy Collapse in RLVR with STEER Method
Discover how STEER tackles entropy collapse in RLVR, enhancing LLM training by improving entropy dynamics and boosting reasoning performance.
PATCH: Hybrid Sparsity Boosts LLM Speed & Accuracy
Discover PATCH, a hybrid sparsity method that enhances large language models with faster speed and improved accuracy while reducing resource use.
Neural Bridge Processes: Enhanced Stochastic Modeling
Discover Neural Bridge Processes, a novel method improving conditional stochastic function modeling with input-anchored trajectories and better generative...
PBiLoss: Boost Fairness in Graph Recommender Systems
Discover how PBiLoss reduces popularity bias to enhance fairness and diversity in graph-based recommender systems without sacrificing accuracy.