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Federated Learning

1355 directly classified papers

Papers per year

Papers

TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning AAAI 2025
Bounded Rationality Equilibrium Learning in Mean Field Games AAAI 2025
On the Robustness of Distributed Machine Learning Against Transfer Attacks AAAI 2025
Breaking Data Silos in Parkinson’s Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis AAAI 2025
DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game AAAI 2025
Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities WACV 2025
Scalable Federated One-Step Multi-View Clustering with Tensorized Regularization AAAI 2025
A New Federated Learning Framework Against Gradient Inversion Attacks AAAI 2025
Capture Global Feature Statistics for One-Shot Federated Learning AAAI 2025
An Optimal Transport-based Latent Mixer for Robust Multi-modal Learning AAAI 2025
FedVLA: Federated Vision-Language-Action Learning with Dual Gating Mixture-of-Experts for Robotic Manipulation ICCV 2025
PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning AAAI 2025
FedMVP: Federated Multimodal Visual Prompt Tuning for Vision-Language Models ICCV 2025
Diffusion-Based Active Learning for Distributed Client Manifolds AAAI 2025
FedCross: Intertemporal Federated Learning Under Evolutionary Games AAAI 2025
Heterogeneous Multi-Agent Bandits with Parsimonious Hints AAAI 2025
Multilingual Symptom Detection on Social Media: Enhancing Health-related Fact-checking with LLMs ACL 2025
Decentralized Low-Rank Fine-Tuning of Large Language Models ACL 2025
Federated Unlearning with Gradient Descent and Conflict Mitigation AAAI 2025
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling AAAI 2025
In-depth Analysis of Low-rank Matrix Factorisation in a Federated Setting AAAI 2025
Federated t-SNE and UMAP for Distributed Data Visualization AAAI 2025
MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay AAAI 2025
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach AAAI 2025
CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-Tuning AAAI 2025