Federated Learning

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 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 Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks NeurIPS 2024 Exponential Quantum Communication Advantage in Distributed Inference and Learning NeurIPS 2024 Extracting Training Data from Molecular Pre-trained Models NeurIPS 2024 FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? NeurIPS 2024 Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity CVPR 2024 Fair Federated Learning with Biased Vision-Language Models ACL 2024 Fake It Till Make It: Federated Learning with Consensus-Oriented Generation ICLR 2024 FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning IJCAI 2024 Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains IJCAI 2024 FedAS: Bridging Inconsistency in Personalized Federated Learning CVPR 2024 FedAST: Federated Asynchronous Simultaneous Training UAI 2024 FedAvP: Augment Local Data via Shared Policy in Federated Learning NeurIPS 2024 FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization JMLR 2024 FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler ICLR 2024 FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization ICLR 2024 FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels AAAI 2024 Federated Adaptation for Foundation Model-based Recommendations IJCAI 2024 Federated Automatic Differentiation JMLR 2024 Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning NeurIPS 2024 Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users AAAI 2024