conftrace_

model drift

10 papers

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Co-occurring keywords · papers mentioning both

federated learning (4) hierarchical federated learning (2) bayesian policy reuse (2) non-stationary dynamics (2) gradient correction (2) human-ai collaboration (2) distributed optimization (2) non-convex optimization (2) multi-timescale gradient correction (1) non-i.i.d. data (1)

Papers

Drift-Resilient Temporal Priors for Visual Tracking CVPR 2026 Creating Coherence in Federated Non-Negative Matrix Factorization AAAI 2025 Exploiting Label Skewness for Spiking Neural Networks in Federated Learning IJCAI 2025 Prompt-Character Divergence: A Responsibility Compass for Human-AI Creative Collaboration NeurIPS 2025 Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators NeurIPS 2024 Hierarchical Federated Learning with Multi-Timescale Gradient Correction NeurIPS 2024 FEAMOE: Fair, Explainable and Adaptive Mixture of Experts IJCAI 2023 On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data CVPR 2023 Differential Assessment of Black-Box AI Agents AAAI 2022 Predicting Temporal Performance Drop of Deployed Production Spoken Language Understanding Models Interspeech 2021