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

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

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

Inter-Client Dependency Recovery with Hidden Global Components for Federated Traffic Prediction AAAI 2026

MartDE: A Privacy-Preserving and Cost-Efficient Evaluation Framework for Data Marketplaces 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

Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size? AAAI 2026

Federated Linear Dueling Bandits AAAI 2026

Learning to Collaborate: An Orchestrated-Decentralized Framework for Peer-to-Peer LLM Federation AAAI 2026

DAWN: Distributed LLM Multi-Agent Workflow Synthesis 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

FedSDA: Federated Stain Distribution Alignment for Non-IID Histopathological Image Classification AAAI 2026