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Federated Learning

1355 directly classified papers

Papers per year

Papers

Distributed Manifold Hashing for Image Set Classification and Retrieval AAAI 2024
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains NIPS 2024
Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification AAAI 2024
Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms AAAI 2024
Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning AAAI 2024
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models EMNLP 2024
$\texttt{pfl-research}$: simulation framework for accelerating research in Private Federated Learning NIPS 2024
A Comparative Analysis of Federated Learning for Speech-Based Cognitive Decline Detection INTERSPEECH 2024
A Kernel Perspective on Distillation-based Collaborative Learning NIPS 2024
Private and Personalized Frequency Estimation in a Federated Setting NIPS 2024
On-Demand Federated Learning for Arbitrary Target Class Distributions AISTATS 2024
Invariant Aggregator for Defending against Federated Backdoor Attacks AISTATS 2024
A Cluster-based Personalized Federated Learning Strategy for End-to-End ASR of Dementia Patients INTERSPEECH 2024
Federated Graph Learning for Cross-Domain Recommendation NIPS 2024
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning AISTATS 2024
Countering the Communication Bottleneck in Federated Learning: A Highly Efficient Zero-Order Optimization Technique JMLR 2024
Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks AISTATS 2024
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models NIPS 2024
Thinking Forward: Memory-Efficient Federated Finetuning of Language Models NIPS 2024
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method NIPS 2024
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels AAAI 2024
A Hassle-free Algorithm for Strong Differential Privacy in Federated Learning Systems EMNLP 2024
FedST: Federated Style Transfer Learning for Non-IID Image Segmentation AAAI 2024
Efficient Conformal Prediction under Data Heterogeneity AISTATS 2024
A Random Projection Approach to Personalized Federated Learning: Enhancing Communication Efficiency, Robustness, and Fairness JMLR 2024