Showing 21–40 of 63 results
/ Date/ Name
May 23, 2022LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence ApproximationJun 22, 2024Defection-Free Collaboration between Competitors in a Learning SystemApr 7, 2025Do Data Valuations Make Good Data Prices?May 16, 2025A Systematic Analysis of Base Model Choice for Reward ModelingFeb 9, 2021Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous DataFeb 9, 2022Agree to Disagree: Diversity through Disagreement for Better TransferabilityJul 25, 2023Scaff-PD: Communication Efficient Fair and Robust Federated LearningJul 10, 2025TruthTorchLM: A Comprehensive Library for Predicting Truthfulness in LLM OutputsNov 25, 2025On the Limits of Momentum in Decentralized and Federated OptimizationNov 30, 2023Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball MomentumOct 6, 2025Psychological Steering in LLMs: An Evaluation of Effectiveness and TrustworthinessOct 12, 2025f-INE: A Hypothesis Testing Framework for Estimating Influence under Training RandomnessMar 20, 2019Accelerating Gradient Boosting MachineJul 14, 2021A Field Guide to Federated OptimizationJun 1, 2025Reconsidering LLM Uncertainty Estimation Methods in the WildSep 22, 2025VoxGuard: Evaluating User and Attribute Privacy in Speech via Membership Inference AttacksNov 16, 2025A Closer Look at Personalized Fine-Tuning in Heterogeneous Federated LearningJan 29, 2026Hair-Trigger Alignment: Black-Box Evaluation Cannot Guarantee Post-Update AlignmentDec 18, 2025ContextLeak: Auditing Leakage in Private In-Context Learning MethodsAug 13, 2025The Surprising Effectiveness of Membership Inference with Simple N-Gram Coverage