Federated Learning

FedDAR: Federated Domain-Aware Representation Learning ICLR 2023 FedDisco: Federated Learning with Discrepancy-Aware Collaboration ICML 2023 FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning CVPR 2023 Federated Adversarial Learning: A Framework with Convergence Analysis ICML 2023 Federated Asymptotics: a model to compare federated learning algorithms AISTATS 2023 Federated Cross Learning for Medical Image Segmentation MIDL 2023 Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets ACL 2023 Federated Generative Model on Multi-Source Heterogeneous Data in IoT AAAI 2023 Federated Incremental Semantic Segmentation CVPR 2023 Federated Learning for Commercial Image Sources WACV 2023 Federated Learning for Data Streams AISTATS 2023 Federated Learning for Secure Development of AI Models for Parkinson’s Disease Detection Using Speech from Different Languages Interspeech 2023 Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms ACL 2023 Federated Learning on Non-IID Graphs via Structural Knowledge Sharing AAAI 2023 Federated Learning Toolkit with Voice-based User Verification Demo Interspeech 2023 Federated Learning with Bilateral Curation for Partially Class-Disjoint Data NeurIPS 2023 Federated Learning With Data-Agnostic Distribution Fusion CVPR 2023 Federated Learning with Uncertainty via Distilled Predictive Distributions ACML 2023 Federated Linear Contextual Bandits with User-level Differential Privacy ICML 2023 Federated Meta-Learning for Emotion and Sentiment Aware Multi-modal Complaint Identification EMNLP 2023 Federated Multi-Objective Learning NeurIPS 2023 Federated Nearest Neighbor Machine Translation ICLR 2023 Federated Online and Bandit Convex Optimization ICML 2023 FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer IJCAI 2023 FedFA: Federated Feature Augmentation ICLR 2023