federated learning

1320 papers

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Also known as

FCL FGL FL FL OR NULL FEDMD FEDA AFL PPFL PFL FEDDG FHGL

Co-occurring keywords

distributed learning (563) communication efficiency (297) model aggregation (156) differential privacy (1010) knowledge distillation (3680) data heterogeneity (112) non-iid datum (109) privacy preservation (376) model compression (3283) distributed optimization (275)

Papers

CoRe-Fed: Bridging Collaborative and Representation Fairness via Federated Embedding Distillation AAAI 2026

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

Federated Context-Aware Personalized Recommendation 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

FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data AAAI 2026

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

BIQ: Bisection Interval Quantization for Communication-efficient Federated Learning AAAI 2026

Poisoning with a Pill: Circumventing Detection in Federated Learning AAAI 2026

FedRNC: Addressing Spatio-Temporal Label Misalignment in Federated Noisy Class-Incremental Learning AAAI 2026

FedSDWC: Federated Synergistic Dual-Representation Weak Causal Learning for OOD AAAI 2026

Generalizable Heterogeneity-aware Federated Feature and Basic-matrix Consistency Learning AAAI 2026

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

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