Federated Learning
1,560 papers
Papers per year
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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