Federated Learning

Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization ICLR 2022 Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination CVPR 2022 Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning NeurIPS 2022 Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching NeurIPS 2022 Fairness in Federated Learning via Core-Stability NeurIPS 2022 FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning NeurIPS 2022 Fast Composite Optimization and Statistical Recovery in Federated Learning ICML 2022 Faster non-convex federated learning via global and local momentum UAI 2022 Feature Distribution Matching for Federated Domain Generalization ACML 2022 FedBABU: Toward Enhanced Representation for Federated Image Classification ICLR 2022 FedCC: Federated Learning with Consensus Confirmation for Byzantine Attack Resistance (Student Abstract) AAAI 2022 FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning IJCAI 2022 FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning ICLR 2022 FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning CVPR 2022 FedCorr: Multi-Stage Federated Learning for Label Noise Correction CVPR 2022 FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server IJCAI 2022 Federated Class-Incremental Learning CVPR 2022 Federated Continual Learning for Text Classification via Selective Inter-client Transfer EMNLP 2022 Federated Domain Adaptation for ASR with Full Self-Supervision Interspeech 2022 Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better AAAI 2022 Federated Functional Gradient Boosting AISTATS 2022 Federated Learning from Only Unlabeled Data with Class-conditional-sharing Clients ICLR 2022 Federated Learning from Pre-Trained Models: A Contrastive Learning Approach NeurIPS 2022 Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features IJCAI 2022 Federated Learning with Buffered Asynchronous Aggregation AISTATS 2022