Federated Learning

Data Acquisition via Experimental Design for Data Markets NeurIPS 2024 Data Valuation and Detections in Federated Learning CVPR 2024 Decentralized Directed Collaboration for Personalized Federated Learning CVPR 2024 Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition ICLR 2024 Device-Wise Federated Network Pruning 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 Distributed Manifold Hashing for Image Set Classification and Retrieval AAAI 2024 Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification AAAI 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 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 Efficient Streaming Algorithms for Graphlet Sampling NeurIPS 2024 Enhancing Byzantine-Resistant Aggregations with Client Embedding EMNLP 2024