Federated Learning

FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning AAAI 2024 FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning ICLR 2024 FedUV: Uniformity and Variance for Heterogeneous Federated Learning CVPR 2024 FedWon: Triumphing Multi-domain Federated Learning Without Normalization ICLR 2024 Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity NeurIPS 2024 FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction NeurIPS 2024 Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients NeurIPS 2024 Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning ICLR 2024 Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models EMNLP 2024 (FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning NeurIPS 2024 FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning CVPR 2024 FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations NeurIPS 2024 FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection NeurIPS 2024 Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning NeurIPS 2024 Frequency Oracle for Sensitive Data Monitoring (Student Abstract) AAAI 2024 From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching IJCAI 2024 FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion NeurIPS 2024 General Commerce Intelligence: Glocally Federated NLP-Based Engine for Privacy-Preserving and Sustainable Personalized Services of Multi-Merchants AAAI 2024 Generalizable Multilingual Hate Speech Detection on Low Resource Indian Languages using Fair Selection in Federated Learning NAACL 2024 Global and Local Prompts Cooperation via Optimal Transport for Federated Learning CVPR 2024 GOLD: Generalized Knowledge Distillation via Out-of-Distribution-Guided Language Data Generation NAACL 2024 Grounded Language Agent for Product Search via Intelligent Web Interactions EMNLP 2024 Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis JMLR 2024 Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning NeurIPS 2024 Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models EMNLP 2024