Federated Learning

Probabilistic Fusion of Neural Networks that Incorporates Global Information ACML 2022 Resource-Adaptive Federated Learning with All-In-One Neural Composition NeurIPS 2022 Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning CVPR 2022 RSCFed: Random Sampling Consensus Federated Semi-Supervised Learning CVPR 2022 SAGDA: Achieving O(ε^-2) Communication Complexity in Federated Min-Max Learning NeurIPS 2022 Scaling Language Model Size in Cross-Device Federated Learning ACL 2022 SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training NeurIPS 2022 SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures AAAI 2022 SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression NeurIPS 2022 SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data AAAI 2022 Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning NeurIPS 2022 A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract) AAAI 2021 Communication-efficient and Scalable Decentralized Federated Edge Learning IJCAI 2021 CRYPTOGRU: Low Latency Privacy-Preserving Text Analysis With GRU EMNLP 2021 Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning AAAI 2021 Differentially Private and Communication Efficient Collaborative Learning AAAI 2021 Differentially Private Learning with Adaptive Clipping NeurIPS 2021 FedMix: Approximation of Mixup under Mean Augmented Federated Learning ICLR 2021 FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout NeurIPS 2021 H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning IJCAI 2021 Improving Federated Learning for Aspect-based Sentiment Analysis via Topic Memories EMNLP 2021 Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients NeurIPS 2021 Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation AAAI 2021 Multi-Institutional Collaborations for Improving Deep Learning-Based Magnetic Resonance Image Reconstruction Using Federated Learning CVPR 2021 On Large-Cohort Training for Federated Learning NeurIPS 2021