Research Papers FedLECC: Cluster- and Loss-Guided Client Selection for Federated Learning under Non-IID Data
Research Papers Cross-Domain Uncertainty Quantification for Selective Prediction: A Comprehensive Bound Ablation with Transfer-Informed Betting
Research Papers NetDiffuser: Deceiving DNN-Based Network Attack Detection Systems with Diffusion-Generated Adversarial Traffic
Research Papers A Decentralized Frontier AI Architecture Based on Personal Instances, Synthetic Data, and Collective Context Synchronization
Research Papers OptBench: An Interactive Workbench for AI/ML-SQL Co-Optimization[Extended Demonstration Proposal]
Research Papers Research and Prototyping Study of an LLM-Based Chatbot for Electromagnetic Simulations
Research Papers A Consequentialist Critique of Binary Classification Evaluation: Theory, Practice, and Tools
