Application Areas
34,437 papers (4 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Domain Adaptation (9,897)
Efficient Computing (8,226)
Data Augmentation (3,648)
Fairness (3,574)
Knowledge Distillation (3,219)
Privacy (3,022)
Domain Generalization (1,972)
Model Compression (1,736)
Risk Management (1,119)
Model Merging (592)
Recommender Systems (343)
Information Retrieval (249)
Text Classification (144)
Text Processing (2)
Papers per year
1
3
5
5
4
19
24
28
26
35
42
55
142
116
147
330
517
1,020
1,828
2,498
3,411
3,854
5,063
6,422
7,176
1,666
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning
AAAI 2026
FastFLUX: Pruning FLUX with Block-wise Replacement and Sandwich Training
AAAI 2026
Fast Vision Mamba: Pooling Spatial Dimensions for Accelerated Processing
WACV 2026
Feature-Aware One-Shot Federated Learning via Hierarchical Token Sequences
AAAI 2026
FedARKS: Federated Aggregation via Robust and Discriminative Knowledge Selection and Integration for Person Re-identification
AAAI 2026
FedBRICK: Structural Bias Aware Heterogeneous Foundation Model Federated Tuning
AAAI 2026
FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning
AAAI 2026
FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data
AAAI 2026
FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels
WACV 2026
Federated Context-Aware Personalized Recommendation
AAAI 2026
Federated Incomplete Multi-View Clustering with Tensorized Low-Rank Constraint
AAAI 2026
Federated Model Synchronization for Diagnostic Redefinition through a Novel Selective Parameter Unlearning
WACV 2026
Federated Vision-Language-Recommendation with Personalized Fusion
AAAI 2026
FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Clients
AAAI 2026
FedMerge: Federated Model Merging for Personalization
AAAI 2026
FedMPT: Federated Multi-Label Prompt Tuning of Vision-Language Models
CVPR 2026
FedPKDA: Personalized Federated Learning with Privacy-Preserving Knowledge Dynamic Alignment
AAAI 2026
FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation
EACL 2026
FedSCAl: Leveraging Server and Client Alignment for Unsupervised Federated Source-Free Domain Adaptation
WACV 2026
FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models
AAAI 2026
FedShard: Federated Unlearning with Efficiency Fairness and Performance Fairness
AAAI 2026
FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting
AAAI 2026
FGNet: Leveraging Feature-Guided Attention to Refine SAM2 for 3D EM Neuron Segmentation
AAAI 2026
FILTER: A Framework for Defending Against Backdoor Attacks in Vertical Federated Learning
AAAI 2026
Filter, Correlate, Compress: Training-Free Token Reduction for MLLM Acceleration
AAAI 2026