Federated Learning

Towards Federated Bayesian Network Structure Learning with Continuous Optimization AISTATS 2022 Training Mixed-Domain Translation Models via Federated Learning NAACL 2022 Transfer Learning In Differential Privacy’s Hybrid-Model ICML 2022 Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy ICML 2022 User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition on Federated Learning Interspeech 2022 Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning NeurIPS 2022 Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification IJCAI 2022 ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity ICLR 2022 A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning ICLR 2021 Accelerating Distributed SGD for Linear Regression using Iterative Pre-Conditioning L4DC 2021 Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning NeurIPS 2021 Addressing Class Imbalance in Federated Learning AAAI 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 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 Boosting with Multiple Sources NeurIPS 2021 Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data ICML 2021 CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression NeurIPS 2021 Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning ICML 2021 Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning) NeurIPS 2021 Collaborative Unsupervised Visual Representation Learning From Decentralized Data ICCV 2021 Communication-Efficient Agnostic Federated Averaging Interspeech 2021 Cooperative SGD: A Unified Framework for the Design and Analysis of Local-Update SGD Algorithms JMLR 2021