Federated Learning
969 papers
Papers per year
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1
1
4
2
1
1
5
9
9
37
90
148
170
234
217
39
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'25
Papers
A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points
JMLR 2023
A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning
NeurIPS 2023
Bayesian Federated Learning: A Survey
IJCAI 2023
Bayesian Federated Neural Matching That Completes Full Information
AAAI 2023
Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework
AAAI 2023
Bias-Eliminating Augmentation Learning for Debiased Federated Learning
CVPR 2023
Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack
CVPR 2023
Byzantine-Robust Federated Learning with Optimal Statistical Rates
AISTATS 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting
ICML 2023
Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity
AISTATS 2023
CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems
AAAI 2023
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning
ICML 2023
Client-Customized Adaptation for Parameter-Efficient Federated Learning
ACL 2023
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis
ICML 2023
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation
ICML 2023
Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter
ACL 2023
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence
ICCV 2023
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data
ICML 2023
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift
ICML 2023
Decentralized Learning With Multi-Headed Distillation
CVPR 2023
DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness
AAAI 2023
DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning
ICML 2023
Differentially Private Distributed Bayesian Linear Regression with MCMC
ICML 2023
Differentially Private Matrix Completion through Low-rank Matrix Factorization
AISTATS 2023
Distributed Offline Policy Optimization Over Batch Data
AISTATS 2023