federated learning

Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms ICLR 2021 Federated Learning with Compression: Unified Analysis and Sharp Guarantees AISTATS 2021 Federated Learning with Dynamic Transformer for Text to Speech Interspeech 2021 Federated Learning with Fair Averaging IJCAI 2021 Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization IJCAI 2021 Federated Linear Contextual Bandits NeurIPS 2021 Federated Model Distillation with Noise-Free Differential Privacy IJCAI 2021 Federated Multi-Armed Bandits AAAI 2021 Federated Multi-armed Bandits with Personalization AISTATS 2021 Federated Multi-Task Learning under a Mixture of Distributions NeurIPS 2021 Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning ICLR 2021 Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis NeurIPS 2021 Federated stochastic gradient Langevin dynamics UAI 2021 FedRec++: Lossless Federated Recommendation with Explicit Feedback AAAI 2021 FedSpeech: Federated Text-to-Speech with Continual Learning IJCAI 2021 Few-Round Learning for Federated Learning NeurIPS 2021 FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout NeurIPS 2021 FLAME: Differentially Private Federated Learning in the Shuffle Model AAAI 2021 FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis ICML 2021 FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective NeurIPS 2021 Free-rider Attacks on Model Aggregation in Federated Learning AISTATS 2021 Game of Gradients: Mitigating Irrelevant Clients in Federated Learning AAAI 2021 Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix ICML 2021 Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning NeurIPS 2021 Gradient Inversion with Generative Image Prior NeurIPS 2021