Optimization

Feasible Recourse Plan via Diverse Interpolation AISTATS 2023 FedALA: Adaptive Local Aggregation for Personalized Federated Learning AAAI 2023 FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks ICML 2023 Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction ICML 2023 FedDisco: Federated Learning with Discrepancy-Aware Collaboration ICML 2023 FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning CVPR 2023 FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment IJCAI 2023 Federated Adversarial Learning: A Framework with Convergence Analysis ICML 2023 Federated Compositional Deep AUC Maximization NeurIPS 2023 Federated Conditional Stochastic Optimization NeurIPS 2023 Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization EMNLP 2023 Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds NeurIPS 2023 FedExP: Speeding Up Federated Averaging via Extrapolation ICLR 2023 FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization ICML 2023 FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance AAAI 2023 FedNAR: Federated Optimization with Normalized Annealing Regularization NeurIPS 2023 FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy ICLR 2023 FeDXL: Provable Federated Learning for Deep X-Risk Optimization ICML 2023 Few-shot Backdoor Attacks via Neural Tangent Kernels ICLR 2023 Few-Shot Non-Line-of-Sight Imaging With Signal-Surface Collaborative Regularization CVPR 2023 Filter-Aware Model-Predictive Control L4DC 2023 FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities ICLR 2023 Finding an ϵ-Close Minimal Variation of Parameters in Bayesian Networks IJCAI 2023 Finding Safe Zones of Markov Decision Processes Policies NeurIPS 2023 Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings ACL 2023