Federated Learning

Unbiased Quantization of the L_1 Ball for Communication-Efficient Distributed Mean Estimation AISTATS 2025 Understanding the Impact of Client Heterogeneity on Ordinal Classification in Federated Medical Image Analysis MIDL 2025 Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning AAAI 2025 When Cars Meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather WACV 2025 Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms AAAI 2024 A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs NeurIPS 2024 A Hassle-free Algorithm for Strong Differential Privacy in Federated Learning Systems EMNLP 2024 Can LLMs get help from other LLMs without revealing private information? ACL 2024 Communication-Efficient Federated Learning with Accelerated Client Gradient CVPR 2024 Concealing Sensitive Samples against Gradient Leakage in Federated Learning AAAI 2024 Cross-Feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data WACV 2024 DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting NeurIPS 2024 Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning NeurIPS 2024 Dual-Personalizing Adapter for Federated Foundation Models NeurIPS 2024 Enhancing Byzantine-Resistant Aggregations with Client Embedding EMNLP 2024 FedAS: Bridging Inconsistency in Personalized Federated Learning CVPR 2024 FedCD: Federated Semi-Supervised Learning with Class Awareness Balance via Dual Teachers AAAI 2024 FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels AAAI 2024 Federated Graph Learning for Cross-Domain Recommendation NeurIPS 2024 Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method NeurIPS 2024 Federated Model Heterogeneous Matryoshka Representation Learning NeurIPS 2024 FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning NeurIPS 2024 FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning ACML 2024 FedLTF: Linear Probing Teaches Fine-tuning to Mitigate Noisy Labels in Federated Learning ACML 2024 FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning CVPR 2024