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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
Modeling with Homophily Driven Heterogeneous Data in Gossip Learning
IJCAI 2023
Almost Cost-Free Communication in Federated Best Arm Identification
AAAI 2023
Achieving Linear Speedup in Non-IID Federated Bilevel Learning
ICML 2023
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction
ICML 2023
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
IJCAI 2023
Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships
ICML 2023
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design
ICML 2023
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning
IJCAI 2023
FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance
AAAI 2023
From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning
ICML 2023
On the Convergence of Federated Averaging with Cyclic Client Participation
ICML 2023
Collaboratively Learning Linear Models with Structured Missing Data
NIPS 2023
Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits
ICML 2023
Optimizing the Collaboration Structure in Cross-Silo Federated Learning
ICML 2023
Federated Learning via Meta-Variational Dropout
NIPS 2023
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning
AAAI 2023
SALAD: Source-Free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection
WACV 2023
SPACE: Single-round Participant Amalgamation for Contribution Evaluation in Federated Learning
NIPS 2023
FedL2P: Federated Learning to Personalize
NIPS 2023
Flow: Per-instance Personalized Federated Learning
NIPS 2023
Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization
NIPS 2023
Federated Learning With Data-Agnostic Distribution Fusion
CVPR 2023
Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack
CVPR 2023
FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation
CVPR 2023
FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning
NSDI 2023
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