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Federated Learning

1355 directly classified papers

Papers per year

Papers

Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense AAAI 2026

DoBlock: Blocking Malicious Association Propagation for Backdoor-Robust Federated Learning Under Domain Skew AAAI 2026

SFedHIFI: Fire Rate-Based Heterogeneous Information Fusion for Spiking Federated Learning AAAI 2026

Data Heterogeneity and Forgotten Labels in Split Federated Learning AAAI 2026

Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification AAAI 2026

OursFed: Provable Group Fairness-Aware Federated Learning Against Distrust and Fragility AAAI 2026

Class-Aware Active Annotation in Federated Semi-Supervised Learning for Medical Image Classification AAAI 2026

SMoFi: Step-wise Momentum Fusion for Split Federated Learning on Heterogeneous Data AAAI 2026

Incomplete Multi-View Unsupervised Federated Feature Selection via Cooperative Particle Swarm Optimization and Tensor-Aligned Learning AAAI 2026

Ripple Shapley: Data Influence Attribution in One Federated Training Run AAAI 2026

Imprint of the Forgotten: Stealthy Membership Inference in Unlearned Graph Neural Networks AAAI 2026

MultiKD: Backdoor Defense in Federated Graph Learning via Attention-Guided Multi-Teacher Distillation AAAI 2026

FedSCAl: Leveraging Server and Client Alignment for Unsupervised Federated Source-Free Domain Adaptation WACV 2026

SD-CSFL: A Synthetic Data-Driven Conformity Scoring Framework for Robust Federated Learning WACV 2026

Personalized Image Privacy Advisors via Federated Daisy-Chaining WACV 2026

Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models WACV 2026

AFL-PRF: Adaptive Federated Learning for Low-Quality Data: Enhancing Performance, Robustness, and Fairness WACV 2026

Federated Model Synchronization for Diagnostic Redefinition through a Novel Selective Parameter Unlearning WACV 2026

FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation EACL 2026

Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-temporal Graph Learning Method for Traffic Flow Forecasting AAAI 2026

PAGE: A Unified Approach for Federated Graph Unlearning AAAI 2026

PPFL: A Parameter Behavior-Driven Plug-in Personalization Engine for Federated Learning AAAI 2026

LSHFed: Robust and Communication-Efficient Federated Learning with Locally-Sensitive Hashing Gradient Mapping AAAI 2026

Personalized Federated Learning with Bidirectional Communication Compression via One-Bit Random Sketching AAAI 2026

Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning AAAI 2026