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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
RB-LoRA: Rank-Balanced Aggregation for Low-Rank Adaptation with Federated Fine-Tuning
EACL 2026
FedSCAl: Leveraging Server and Client Alignment for Unsupervised Federated Source-Free Domain Adaptation
WACV 2026
Unified Alignment Protocol: Making Sense of the Unlabeled Data in New Domains
WACV 2026
AFL-PRF: Adaptive Federated Learning for Low-Quality Data: Enhancing Performance, Robustness, and Fairness
WACV 2026
FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels
WACV 2026
Personalized Image Privacy Advisors via Federated Daisy-Chaining
WACV 2026
Marshaled Learning: Bridging Large Neural Networks with Memory-Constrained Trusted Execution Environments in Federated Learning
WACV 2026
CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning
WACV 2026
SD-CSFL: A Synthetic Data-Driven Conformity Scoring Framework for Robust Federated Learning
WACV 2026
AEFGL: Reverse Auction and Value Evaluation-Based Federated Graph Learning Incentive Mechanism (Student Abstract)
AAAI 2026
UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data (Student Abstract)
AAAI 2026
Federated Cross-Modal Style-Aware Prompt Generation (Student Abstract)
AAAI 2026
Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models
AAAI 2026
HealSplit: Towards Self-Healing Through Adversarial Distillation in Split Federated Learning
AAAI 2026
ShadeEdit: A Utility-Preserving and Defense-Evasive Knowledge Manipulation Attack in Federated LLMs
AAAI 2026
FILTER: A Framework for Defending Against Backdoor Attacks in Vertical Federated Learning
AAAI 2026
Generic Adversarial Attack Framework Against Graph-based Vertical Federated Learning
AAAI 2026
MartDE: A Privacy-Preserving and Cost-Efficient Evaluation Framework for Data Marketplaces
AAAI 2026
Reinforce Trustworthiness in Multimodal Emotional Support System
AAAI 2026
Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning
AAAI 2026
DGTF: Cross-Domain Decentralized Graph Learning with Topology-Aware Knowledge Fusion
AAAI 2026
Equilibrium-Driven Vertical Federated Learning with Selective Privacy Protection
AAAI 2026
REMISVFU: Vertical Federated Unlearning via Representation Misdirection for Intermediate Output Feature
AAAI 2026
A Unified Self-Regulating Training Framework for Federated Deep Reinforcement Learning
AAAI 2026
MSCFL: Model Structure-Aware Clustered Federated Learning for System Heterogeneity and Data Drift
AAAI 2026
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