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Federated Learning

1355 directly classified papers

Papers per year

Papers

Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation AAAI 2024
Private and Personalized Frequency Estimation in a Federated Setting NIPS 2024
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels AAAI 2024
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning NIPS 2024
Distributed Manifold Hashing for Image Set Classification and Retrieval AAAI 2024
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images AAAI 2024
Analysis of Privacy Leakage in Federated Large Language Models AISTATS 2024
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting NIPS 2024
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data NIPS 2024
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning IJCAI 2024
Label Leakage in Vertical Federated Learning: A Survey IJCAI 2024
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains NIPS 2024
Knowledge-Aware Parameter Coaching for Personalized Federated Learning AAAI 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
Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection IJCAI 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