federated learning

DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model EMNLP 2024 Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors NeurIPS 2024 Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD NeurIPS 2024 DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting NeurIPS 2024 Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences NeurIPS 2024 Dual Calibration-based Personalised Federated Learning IJCAI 2024 Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning NeurIPS 2024 Dual-Personalizing Adapter for Federated Foundation Models NeurIPS 2024 EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning IJCAI 2024 Effective and Efficient Federated Tree Learning on Hybrid Data ICLR 2024 Effective Federated Graph Matching ICML 2024 Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction AAAI 2024 Efficient Conformal Prediction under Data Heterogeneity AISTATS 2024 Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability NeurIPS 2024 Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means IJCAI 2024 Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization CVPR 2024 Enhancing Byzantine-Resistant Aggregations with Client Embedding EMNLP 2024 Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning IJCAI 2024 Enhancing Neural Training via a Correlated Dynamics Model ICLR 2024 Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting ICLR 2024 Enhancing Storage and Computational Efficiency in Federated Multimodal Learning for Large-Scale Models ICML 2024 Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression AISTATS 2024 Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning IJCAI 2024 Exploiting Label Skews in Federated Learning with Model Concatenation AAAI 2024 Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks NeurIPS 2024