Federated Learning

Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence ICCV 2023 Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples ICCV 2023 Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning IJCAI 2023 Complement Sparsification: Low-Overhead Model Pruning for Federated Learning AAAI 2023 Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization CVPR 2023 Conformal Prediction for Federated Uncertainty Quantification Under Label Shift ICML 2023 Convergence Analysis of Sequential Federated Learning on Heterogeneous Data NeurIPS 2023 Coordinated Replay Sample Selection for Continual Federated Learning EMNLP 2023 Correlation Aware Sparsified Mean Estimation Using Random Projection NeurIPS 2023 DaFKD: Domain-Aware Federated Knowledge Distillation CVPR 2023 DASHA: Distributed Nonconvex Optimization with Communication Compression and Optimal Oracle Complexity ICLR 2023 Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models ICLR 2023 DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness AAAI 2023 DELTA: Diverse Client Sampling for Fasting Federated Learning NeurIPS 2023 Delving into the Adversarial Robustness of Federated Learning AAAI 2023 Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning IJCAI 2023 DepthFL : Depthwise Federated Learning for Heterogeneous Clients ICLR 2023 DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning ICML 2023 Distributed Offline Policy Optimization Over Batch Data AISTATS 2023 Divide-and-Conquer Fusion JMLR 2023 DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching AAAI 2023 DoCoFL: Downlink Compression for Cross-Device Federated Learning ICML 2023 Doubly Adversarial Federated Bandits ICML 2023 DPAUC: Differentially Private AUC Computation in Federated Learning AAAI 2023 Dropout-Resilient Secure Multi-Party Collaborative Learning with Linear Communication Complexity AISTATS 2023