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Artificial Intelligence
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Federated Learning
1355 directly classified papers
Papers per year
2010: 1
2011: 1
2012: 7
2013: 2
2014: 2
2015: 4
2016: 4
2017: 5
2018: 11
2019: 20
2020: 70
2021: 131
2022: 208
2023: 289
2024: 233
2025: 257
2026: 110
Papers
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting
ICML 2023
DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning
ICML 2023
Secure Federated Correlation Test and Entropy Estimation
ICML 2023
Towards Understanding Ensemble Distillation in Federated Learning
ICML 2023
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift
ICML 2023
Improving the Model Consistency of Decentralized Federated Learning
ICML 2023
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
ICML 2023
Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions
ICML 2023
Private Federated Learning with Autotuned Compression
ICML 2023
TabLeak: Tabular Data Leakage in Federated Learning
ICML 2023
Anchor Sampling for Federated Learning with Partial Client Participation
ICML 2023
Personalized Federated Learning under Mixture of Distributions
ICML 2023
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation
ICML 2023
Personalized Federated Learning with Inferred Collaboration Graphs
ICML 2023
Doubly Adversarial Federated Bandits
ICML 2023
FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization
ICML 2023
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction
ICML 2023
LeadFL: Client Self-Defense against Model Poisoning in Federated Learning
ICML 2023
DoCoFL: Downlink Compression for Cross-Device Federated Learning
ICML 2023
One-Shot Federated Conformal Prediction
ICML 2023
Adversarial Collaborative Learning on Non-IID Features
ICML 2023
Revisiting Weighted Aggregation in Federated Learning with Neural Networks
ICML 2023
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models
ICML 2023
Structured Cooperative Learning with Graphical Model Priors
ICML 2023
FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization
ICML 2023
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