Machine Learning
132,800 papers (10 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
5
22
43
74
52
76
308
315
348
358
533
570
711
1,481
1,361
1,651
2,440
3,865
5,968
9,301
11,133
13,312
14,452
17,500
20,351
21,167
5,403
2000
'5
'10
'15
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'25
Papers (including subtopics)
Federated Voxel Scene Graph for Intracranial Hemorrhage
WACV 2025
Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt
AAAI 2025
FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Large Language Models
ACL 2025
FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement
AAAI 2025
FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation
AAAI 2025
FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients
IJCAI 2025
FedLEKE: Federated Locate-then-Edit Knowledge Editing for Multi-Client Collaboration
ACL 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking
ICLR 2025
FedMABench: Benchmarking Mobile GUI Agents on Decentralized Heterogeneous User Data
EMNLP 2025
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields
ICCV 2025
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning
CVPR 2025
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models
COLING 2025
FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning
AAAI 2025
FedMVP: Federated Multimodal Visual Prompt Tuning for Vision-Language Models
ICCV 2025
FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning
ICML 2025
FedPall: Prototype-based Adversarial and Collaborative Learning for Federated Learning with Feature Drift
ICCV 2025
FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation
ICML 2025
FedPIA – Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning
AAAI 2025
FedPop: Federated Population-based Hyperparameter Tuning
AAAI 2025
FED-PsyAU: Privacy-Preserving Micro-Expression Recognition via Psychological AU Coordination and Dynamic Facial Motion Modeling
ICCV 2025
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
AAAI 2025
FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates
ICML 2025
FedSpaLLM: Federated Pruning of Large Language Models
NAACL 2025
FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning
UAI 2025
FedSPU: Personalized Federated Learning for Resource-Constrained Devices with Stochastic Parameter Update
AAAI 2025