Federated Learning

Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM NeurIPS 2023 Modeling with Homophily Driven Heterogeneous Data in Gossip Learning IJCAI 2023 Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions ICML 2023 Moving-Landmark Assisted Distributed Learning Based Decentralized Cooperative Localization (DL-DCL) with Fault Tolerance AAAI 2023 Multi-Agent Learning with Heterogeneous Linear Contextual Bandits NeurIPS 2023 Multi-Metrics Adaptively Identifies Backdoors in Federated Learning ICCV 2023 Multimodal Deep Generative Models for Remote Medical Applications AAAI 2023 Multiply Robust Federated Estimation of Targeted Average Treatment Effects NeurIPS 2023 Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Federated Object Detection NeurIPS 2023 No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier ICCV 2023 No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation ICML 2023 Nothing but Regrets — Privacy-Preserving Federated Causal Discovery AISTATS 2023 On Computing Pairwise Statistics with Local Differential Privacy NeurIPS 2023 One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning NeurIPS 2023 One-Shot Federated Conformal Prediction ICML 2023 On the Convergence of Federated Averaging with Cyclic Client Participation ICML 2023 On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data CVPR 2023 On the Importance and Applicability of Pre-Training for Federated Learning ICLR 2023 On the Vulnerability of Backdoor Defenses for Federated Learning AAAI 2023 Optimizing the Collaboration Structure in Cross-Silo Federated Learning ICML 2023 Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships ICML 2023 Panning for Gold in Federated Learning: Targeted Text Extraction under Arbitrarily Large-Scale Aggregation ICLR 2023 Parameter-efficient Modularised Bias Mitigation via AdapterFusion EACL 2023 PerFedMask: Personalized Federated Learning with Optimized Masking Vectors ICLR 2023 Personalized federated domain adaptation for item-to-item recommendation UAI 2023