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Federated Learning
497 directly classified papers
Papers per year
2008: 1
2010: 1
2012: 2
2014: 1
2016: 1
2017: 1
2018: 7
2019: 4
2020: 15
2021: 49
2022: 69
2023: 92
2024: 147
2025: 102
2026: 5
Papers
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
ICML 2022
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum
ICML 2022
Production federated keyword spotting via distillation, filtering, and joint federated-centralized training
INTERSPEECH 2022
Decoupled Federated Learning for ASR with Non-IID Data
INTERSPEECH 2022
Avoid Overfitting User Specific Information in Federated Keyword Spotting
INTERSPEECH 2022
User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition on Federated Learning
INTERSPEECH 2022
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better
AAAI 2022
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating
AAAI 2022
Contribution-Aware Federated Learning for Smart Healthcare
AAAI 2022
Byzantine-tolerant federated Gaussian process regression for streaming data
NIPS 2022
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning
NIPS 2022
Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning
NIPS 2022
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization
NIPS 2022
SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training
NIPS 2022
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling
NIPS 2022
Self-Aware Personalized Federated Learning
NIPS 2022
Differentially Private Federated Learning on Heterogeneous Data
AISTATS 2022
A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning
NIPS 2022
Federated Learning With Position-Aware Neurons
CVPR 2022
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits
AISTATS 2022
Global Convergence of Federated Learning for Mixed Regression
NIPS 2022
Personalized Federated Learning towards Communication Efficiency, Robustness and Fairness
NIPS 2022
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels
NIPS 2022
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition
AAAI 2022
Federated Nearest Neighbor Classification with a Colony of Fruit-Flies
AAAI 2022
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