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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
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
AAAI 2024
Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning
AAAI 2024
Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms
AAAI 2024
Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences
NIPS 2024
Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation
AAAI 2024
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels
AAAI 2024
Distributed Manifold Hashing for Image Set Classification and Retrieval
AAAI 2024
Revisiting Ensembling in One-Shot Federated Learning
NIPS 2024
Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification
AAAI 2024
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning
IJCAI 2024
Label Leakage in Vertical Federated Learning: A Survey
IJCAI 2024
Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection
IJCAI 2024
Federated Model Heterogeneous Matryoshka Representation Learning
NIPS 2024
Unlearning during Learning: An Efficient Federated Machine Unlearning Method
IJCAI 2024
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning
IJCAI 2024
Personalized Federated Learning via Feature Distribution Adaptation
NIPS 2024
Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning
IJCAI 2024
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime
NIPS 2024
Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning
NIPS 2024
Dual Calibration-based Personalised Federated Learning
IJCAI 2024
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD
NIPS 2024
Private and Personalized Frequency Estimation in a Federated Setting
NIPS 2024
Personalized Federated X-armed Bandit
AISTATS 2024
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
NIPS 2024
Bayesian Regression Markets
JMLR 2024
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