Federated Learning

Decentralized Autonomous Organizations and Multi-agent Systems for Artificial Intelligence Applications and Data Analysis IJCAI 2022 Decentralized Data Collection for Robotic Fleet Learning: A Game-Theoretic Approach CoRL 2022 Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks NeurIPS 2022 Decentralized Local Stochastic Extra-Gradient for Variational Inequalities NeurIPS 2022 Decoupled Federated Learning for ASR with Non-IID Data Interspeech 2022 Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds CVPR 2022 DENSE: Data-Free One-Shot Federated Learning NeurIPS 2022 Differentially Private Federated Learning on Heterogeneous Data AISTATS 2022 Differentially Private Federated Learning With Local Regularization and Sparsification CVPR 2022 Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation EMNLP 2022 DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training ICML 2022 DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems AAAI 2022 Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior JMLR 2022 Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space NeurIPS 2022 Distributed Learning of Finite Gaussian Mixtures JMLR 2022 Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees NeurIPS 2022 Distributed Stochastic Nash Equilibrium Learning in Locally Coupled Network Games with Unknown Parameters L4DC 2022 Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions ICLR 2022 Divergence-aware Federated Self-Supervised Learning ICLR 2022 Diverse Client Selection for Federated Learning via Submodular Maximization ICLR 2022 DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing NeurIPS 2022 EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning ICML 2022 EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization NeurIPS 2022 Efficient Device Scheduling with Multi-Job Federated Learning AAAI 2022 Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation EMNLP 2022