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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
AdaptPFL: Unlocking Cross-Device Palmprint Recognition via Adaptive Personalized Federated Learning with Feature Decoupling
IJCAI 2025
Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack
ICCV 2025
FedSpaLLM: Federated Pruning of Large Language Models
NAACL 2025
Mjölnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion
AAAI 2025
SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning
AAAI 2025
Towards Federated Low-Rank Adaptation of Language Models with Rank Heterogeneity
NAACL 2025
Federated Incremental Named Entity Recognition
COLING 2025
Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data
AAAI 2025
FedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning
COLING 2025
AI Assistant for Socioeconomic Empowerment Using Federated Learning
NAACL 2025
Federated Low-Rank Adaptation for Foundation Models: A Survey
IJCAI 2025
FedCPD:Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation
IJCAI 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning
AAAI 2025
MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning
WACV 2025
ADPFedGNN: Adaptive Decoupling Personalized Federated Graph Neural Network
IJCAI 2025
An Empirical Study of Federated Prompt Learning for Vision Language Model
IJCAI 2025
Federated Learning at the Forefront of Fairness: A Multifaceted Perspective
IJCAI 2025
Predicting Event Memorability using Personalized Federated Learning
WACV 2025
Federated Domain Generalization with Decision Insight Matrix
IJCAI 2025
FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning
IJCAI 2025
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities
WACV 2025
Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models
WACV 2025
Federated Multi-view Graph Clustering with Incomplete Attribute Imputation
IJCAI 2025
FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks
IJCAI 2025
Federated Foundation Models on Heterogeneous Time Series
AAAI 2025
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