Federated Learning

DAGER: Exact Gradient Inversion for Large Language Models NeurIPS 2024 DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices NeurIPS 2024 Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets AAAI 2024 DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations AAAI 2024 DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models CVPR 2024 DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning CVPR 2024 Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks IJCAI 2024 Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification AAAI 2024 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 Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning NeurIPS 2024 Efficient Conformal Prediction under Data Heterogeneity AISTATS 2024 Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization CVPR 2024 EM for Mixture of Linear Regression with Clustered Data AISTATS 2024 EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning AAAI 2024 Enhancing Byzantine-Resistant Aggregations with Client Embedding EMNLP 2024 Escaping Saddle Points in Heterogeneous Federated Learning via Distributed SGD with Communication Compression AISTATS 2024 Exploiting Label Skews in Federated Learning with Model Concatenation AAAI 2024 Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models AAAI 2024 FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? NeurIPS 2024 Fair and Efficient Contribution Valuation for Vertical Federated Learning ICLR 2024 Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity CVPR 2024