Federated Learning

Federated Nearest Neighbor Classification with a Colony of Fruit-Flies AAAI 2022 Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling ICML 2022 Federated Reinforcement Learning with Environment Heterogeneity AISTATS 2022 Federated Self-supervised Speech Representations: Are We There Yet? Interspeech 2022 FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition AAAI 2022 FedNest: Federated Bilevel, Minimax, and Compositional Optimization ICML 2022 FedNST: Federated Noisy Student Training for Automatic Speech Recognition Interspeech 2022 FedPop: A Bayesian Approach for Personalised Federated Learning NeurIPS 2022 FedProto: Federated Prototype Learning across Heterogeneous Clients AAAI 2022 FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction NeurIPS 2022 FedScale: Benchmarking Model and System Performance of Federated Learning at Scale ICML 2022 FedSoft: Soft Clustered Federated Learning with Proximal Local Updating AAAI 2022 FedSR: A Simple and Effective Domain Generalization Method for Federated Learning NeurIPS 2022 Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification ICML 2022 FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning AISTATS 2022 FLVoogd: Robust And Privacy Preserving Federated Learning ACML 2022 GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations NeurIPS 2022 Generalized Federated Learning via Sharpness Aware Minimization ICML 2022 Global Convergence of Federated Learning for Mixed Regression NeurIPS 2022 Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs IJCAI 2022 Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning IJCAI 2022 Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams NeurIPS 2022 In Differential Privacy, There is Truth: on Vote-Histogram Leakage in Ensemble Private Learning NeurIPS 2022 Is Your Data Relevant?: Dynamic Selection of Relevant Data for Federated Learning AAAI 2022 LAMP: Extracting Text from Gradients with Language Model Priors NeurIPS 2022