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Federated Learning

1355 directly classified papers

Papers per year

Papers

ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning AAAI 2026

FedTopo: Topology-Informed Representation Alignment in Federated Learning Under Non-I.I.D. Conditions AAAI 2026

FedLAGC: Towards High Performance System-Heterogeneous Federated Learning via Layer-Adaptive Submodel Extraction and Gradient Correction AAAI 2026

Communication-Efficient Heterogeneous Federated Learning with Sparse Prototypes in Resource-Constrained Environments AAAI 2026

Probabilistic Hash Embeddings for Online Learning of Categorical Features 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

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

FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models AAAI 2026

Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs AAAI 2026

DA-DFGAS:Differentiable Federated Graph Neural Architecture Search with Distribution-Aware Attentive Aggregation AAAI 2026

Re-architecting Personalized Federated Learning for Demanding Edge Environments AAAI 2026

Decoupling Shared and Personalized Knowledge: A Dual-Branch Federated Learning Framework for Multi-Domain with Non-IID Data AAAI 2026

Retaliatory Attacks Against Federated Unlearning via Data Leakage AAAI 2026

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

FedShard: Federated Unlearning with Efficiency Fairness and Performance Fairness AAAI 2026

REMISVFU: Vertical Federated Unlearning via Representation Misdirection for Intermediate Output Feature AAAI 2026

Tackling Resource-Constrained and Data-Heterogeneity in Federated Learning with Double-Weight Sparse Pack AAAI 2026

Bi-level Personalization for Federated Foundation Models: A Task-vector Aggregation Approach AAAI 2026

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

FedPKDA: Personalized Federated Learning with Privacy-Preserving Knowledge Dynamic Alignment AAAI 2026

EvoFMVC: Trusted Federated Multi-View Clustering with Evolutionary Fusion AAAI 2026

Topological Federated Clustering via Gravitational Potential Fields Under Local Differential Privacy AAAI 2026