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Federated Learning

1,560 papers

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Papers

Scaling Language Model Size in Cross-Device Federated Learning ACL 2022 SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning NeurIPS 2022 Seizing Critical Learning Periods in Federated Learning AAAI 2022 Self-Aware Personalized Federated Learning NeurIPS 2022 Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling Interspeech 2022 SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training NeurIPS 2022 Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective AISTATS 2022 Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning NeurIPS 2022 Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection IJCAI 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 SplitFed: When Federated Learning Meets Split Learning AAAI 2022 SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data AAAI 2022 Statistical Estimation and Online Inference via Local SGD COLT 2022 Subspace Recovery from Heterogeneous Data with Non-isotropic Noise NeurIPS 2022 Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning NeurIPS 2022 TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels NeurIPS 2022 Thompson Sampling for Robust Transfer in Multi-Task Bandits ICML 2022 Towards Federated Bayesian Network Structure Learning with Continuous Optimization AISTATS 2022 Towards Model Agnostic Federated Learning Using Knowledge Distillation ICLR 2022 Towards Understanding Biased Client Selection in Federated Learning AISTATS 2022 Towards Verifiable Federated Learning IJCAI 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