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Federated Learning

1355 directly classified papers

Papers per year

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