Learning Paradigms
14,967 papers (9 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Transfer Learning (8,172)
Few-Shot Learning (2,681)
Meta-Learning (1,719)
Federated Learning (1,560)
Zero-Shot Learning (878)
Continual Learning (189)
Domain Adaptation (184)
Self-Supervised Learning (158)
Active Learning (154)
Multi-Task Learning (145)
Semi-Supervised Learning (86)
In-Context Learning (53)
Unsupervised Learning (53)
Domain Generalization (26)
Weakly Supervised Learning (23)
Papers per year
3
2
4
12
24
14
20
29
31
32
66
53
67
103
206
482
852
1,124
1,566
1,867
2,410
2,658
2,486
856
'5
'10
'15
'20
'25
Papers (including subtopics)
Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond
ICLR 2025
Federated Continuous Category Discovery and Learning
ICCV 2025
Federated Data-Efficient Instruction Tuning for Large Language Models
ACL 2025
Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization
IJCAI 2025
Federated Domain Generalization with Data-free On-server Matching Gradient
ICLR 2025
Federated Domain Generalization with Decision Insight Matrix
IJCAI 2025
Federated Domain Generalization with Domain-specific Soft Prompts Generation
ICCV 2025
Federated Few-Shot Class-Incremental Learning
ICLR 2025
Federated Foundation Models on Heterogeneous Time Series
AAAI 2025
Federated Graph Condensation with Information Bottleneck Principles
AAAI 2025
Federated Graph-Level Clustering Network
AAAI 2025
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality
ICML 2025
Federated Incremental Named Entity Recognition
COLING 2025
Federated Learning at the Forefront of Fairness: A Multifaceted Perspective
IJCAI 2025
Federated Learning for Feature Generalization with Convex Constraints
ICML 2025
Federated Learning with Domain Shift Eraser
CVPR 2025
Federated Learning with Heterogeneous LLMs: Integrating Small Student Client Models with a Large Hungry Model
AAAI 2025
Federated Learning with Sample-level Client Drift Mitigation
AAAI 2025
Federated Low-Rank Adaptation for Foundation Models: A Survey
IJCAI 2025
Federated Multi-view Graph Clustering with Incomplete Attribute Imputation
IJCAI 2025
Federated Oriented Learning: A Practical One-Shot Personalized Federated Learning Framework
ICML 2025
Federated Recommendation with Explicitly Encoding Item Bias
AAAI 2025
Federated Representation Angle Learning
ICCV 2025
Federated Residual Low-Rank Adaptation of Large Language Models
ICLR 2025
Federated Retrieval-Augmented Generation: A Systematic Mapping Study
EMNLP 2025