Learning Paradigms

CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data AAAI 2024 CL-MAE: Curriculum-Learned Masked Autoencoders WACV 2024 Collaborative Learning across Heterogeneous Systems with Pre-Trained Models AAAI 2024 Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline CVPR 2024 Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators AAAI 2024 Communication-Efficient Federated Group Distributionally Robust Optimization NeurIPS 2024 Communication-Efficient Federated Learning with Accelerated Client Gradient CVPR 2024 Communication-Efficient Federated Learning With Data and Client Heterogeneity AISTATS 2024 Communication-Efficient Federated Non-Linear Bandit Optimization ICLR 2024 Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning AAAI 2024 Compressed and distributed least-squares regression: convergence rates with applications to federated learning JMLR 2024 Compression with Exact Error Distribution for Federated Learning AISTATS 2024 Concealing Sensitive Samples against Gradient Leakage in Federated Learning AAAI 2024 ConcreteGPT: A Baby GPT-2 Based on Lexical Concreteness and Curriculum Learning CoNLL 2024 Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming AAAI 2024 Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real World CVPR 2024 Cooperative Meta-Learning with Gradient Augmentation UAI 2024 Countering the Communication Bottleneck in Federated Learning: A Highly Efficient Zero-Order Optimization Technique JMLR 2024 Cross-Feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data WACV 2024 Curriculum Consistency Learning for Conditional Sentence Generation EMNLP 2024 Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise NeurIPS 2024 Curriculum reinforcement learning for quantum architecture search under hardware errors ICLR 2024 DAGER: Exact Gradient Inversion for Large Language Models NeurIPS 2024 DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices NeurIPS 2024 Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets AAAI 2024