Federated Learning

Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning NeurIPS 2022 Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification IJCAI 2022 VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition AISTATS 2022 VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? NeurIPS 2022 Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning ICML 2022 What Do We Mean by Generalization in Federated Learning? ICLR 2022 Accumulative Poisoning Attacks on Real-time Data NeurIPS 2021 Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning ICLR 2021 Adaptive Federated Optimization ICLR 2021 Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning NeurIPS 2021 An Investigation towards Differentially Private Sequence Tagging in a Federated Framework NAACL 2021 A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning NAACL 2021 A Secure and Efficient Federated Learning Framework for NLP EMNLP 2021 A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract) AAAI 2021 A Stochastic Newton Algorithm for Distributed Convex Optimization NeurIPS 2021 Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge ICML 2021 A Wasserstein Minimax Framework for Mixed Linear Regression ICML 2021 BASGD: Buffered Asynchronous SGD for Byzantine Learning ICML 2021 Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning IJCAI 2021 Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning ICML 2021 Boosting with Multiple Sources NeurIPS 2021 Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data ICML 2021 CADA: Communication-Adaptive Distributed Adam AISTATS 2021 CAFE: Catastrophic Data Leakage in Vertical Federated Learning NeurIPS 2021 CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression NeurIPS 2021