Federated Learning

Mixing Gradients in Neural Networks as a Strategy To Enhance Privacy in Federated Learning WACV 2024 Multi-Dimensional Fair Federated Learning AAAI 2024 Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization AAAI 2024 Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning NAACL 2024 Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers AAAI 2024 Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data NeurIPS 2024 No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation AAAI 2024 On Convergence of Federated Averaging Langevin Dynamics UAI 2024 On-Demand Federated Learning for Arbitrary Target Class Distributions AISTATS 2024 On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning AAAI 2024 One-shot Empirical Privacy Estimation for Federated Learning ICLR 2024 On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint) IJCAI 2024 On Sampling Strategies for Spectral Model Sharding NeurIPS 2024 On the Necessity of Collaboration for Online Model Selection with Decentralized Data NeurIPS 2024 On the Role of Server Momentum in Federated Learning AAAI 2024 Open-Vocabulary Federated Learning with Multimodal Prototyping NAACL 2024 Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime NeurIPS 2024 PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees CVPR 2024 PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search AAAI 2024 Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts AAAI 2024 Personalized Federated Learning for Cross-City Traffic Prediction IJCAI 2024 Personalized Federated Learning via Feature Distribution Adaptation NeurIPS 2024 Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning NeurIPS 2024 Personalized PCA: Decoupling Shared and Unique Features JMLR 2024 Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts EMNLP 2024