gradient correction

FedLAGC: Towards High Performance System-Heterogeneous Federated Learning via Layer-Adaptive Submodel Extraction and Gradient Correction AAAI 2026 Fisher8: Stabilizing Neural Heteroscedastic Regression via Output-Layer Fisher Geometry UAI 2026 Extracting Military Event Temporal Relations via Relative Event Time Prediction and Virtual Adversarial Training NAACL 2025 FedAGC: Federated Continual Learning with Asymmetric Gradient Correction ICCV 2025 ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks AAAI 2025 Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators NeurIPS 2024 Continual Few-shot Relation Extraction via Adaptive Gradient Correction and Knowledge Decomposition ACL 2024 Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction AAAI 2024 Hierarchical Federated Learning with Multi-Timescale Gradient Correction NeurIPS 2024 Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU Supervision CVPR 2023 Language Model Pre-training on True Negatives AAAI 2023 Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach ICLR 2023 Federated Learning for Face Recognition with Gradient Correction AAAI 2022 Get More at Once: Alternating Sparse Training with Gradient Correction NeurIPS 2022 Debiasing Model Updates for Improving Personalized Federated Training ICML 2021