federated learning

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 Data-Free One-Shot Federated Learning Under Very High Statistical Heterogeneity ICLR 2023 Decentralized Learning With Multi-Headed Distillation CVPR 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 Distributed Offline Policy Optimization Over Batch Data AISTATS 2023 Distributed Personalized Empirical Risk Minimization NeurIPS 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 Is NOT All You Need to Prevent Gradient Leakage AAAI 2023 Dropout-Resilient Secure Multi-Party Collaborative Learning with Linear Communication Complexity AISTATS 2023 Dual Personalization on Federated Recommendation IJCAI 2023 DynaFed: Tackling Client Data Heterogeneity With Global Dynamics CVPR 2023 Dynamic Personalized Federated Learning with Adaptive Differential Privacy NeurIPS 2023 Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape ICML 2023 Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model AAAI 2023 Effective passive membership inference attacks in federated learning against overparameterized models ICLR 2023 Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout AISTATS 2023