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Federated Learning

1355 directly classified papers

Papers per year

Papers

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

Tackling Resource-Constrained and Data-Heterogeneity in Federated Learning with Double-Weight Sparse Pack 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

Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models AAAI 2026

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

TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models AAAI 2026

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

TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models AAAI 2026

FedBRICK: Structural Bias Aware Heterogeneous Foundation Model Federated Tuning AAAI 2026

FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models AAAI 2026

A Unified Convergence Analysis for Semi-Decentralized Learning: Sampled-to-Sampled vs. Sampled-to-All Communication AAAI 2026

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

Optimal Look-back Horizon for Time Series Forecasting in Federated Learning 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

DAWN: Distributed LLM Multi-Agent Workflow Synthesis AAAI 2026

RCMoE: A Communication-Efficient Random Compression Framework for Resource-Constrained Mixture-of-Experts Training AAAI 2026

FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training AAAI 2026

Federated Vision-Language-Recommendation with Personalized Fusion AAAI 2026

FedDNA: DNA Sequence Reconstruction via Deep Evidential Learning and Personalized Federated Aggregation AAAI 2026

Personalized Federated Graph-Level Clustering Network AAAI 2026

Causally-Aware Attribute Completion for Incomplete Federated Graph Clustering AAAI 2026

Feature-Aware One-Shot Federated Learning via Hierarchical Token Sequences AAAI 2026