federated learning

Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack CVPR 2023 Breaking the Communication-Privacy-Accuracy Tradeoff with f-Differential Privacy NeurIPS 2023 Byzantine-Robust Federated Learning with Optimal Statistical Rates AISTATS 2023 Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting ICML 2023 Can 5th Generation Local Training Methods Support Client Sampling? Yes! AISTATS 2023 CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning ICLR 2023 CaPriDe Learning: Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss CVPR 2023 CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems AAAI 2023 Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning ICML 2023 Client-Customized Adaptation for Parameter-Efficient Federated Learning ACL 2023 Clustered Federated Learning for Heterogeneous Data (Student Abstract) AAAI 2023 Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis ICML 2023 CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks ICML 2023 ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning ACL 2023 Collaboratively Learning Linear Models with Structured Missing Data NeurIPS 2023 Combating Exacerbated Heterogeneity for Robust Models in Federated Learning ICLR 2023 Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems NeurIPS 2023 Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation ICML 2023 Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter ACL 2023 Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence ICCV 2023 Complement Sparsification: Low-Overhead Model Pruning for Federated Learning AAAI 2023 Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data ICML 2023 Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization CVPR 2023 Conformal Prediction for Federated Uncertainty Quantification Under Label Shift ICML 2023 Contextual Stochastic Bilevel Optimization NeurIPS 2023