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Federated Learning

497 directly classified papers

Papers per year

Papers

Federated Learning via Input-Output Collaborative Distillation AAAI 2024
Collaborative Learning across Heterogeneous Systems with Pre-Trained Models AAAI 2024
HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation AAAI 2024
Can LLMs get help from other LLMs without revealing private information? ACL 2024
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity CVPR 2024
FedMef: Towards Memory-efficient Federated Dynamic Pruning CVPR 2024
Communication-Efficient Federated Learning with Accelerated Client Gradient CVPR 2024
FedAS: Bridging Inconsistency in Personalized Federated Learning CVPR 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning CVPR 2024
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline CVPR 2024
FedHCA2: Towards Hetero-Client Federated Multi-Task Learning CVPR 2024
Federated Generalized Category Discovery CVPR 2024
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server EMNLP 2024
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models EMNLP 2024
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models EMNLP 2024
A Hassle-free Algorithm for Strong Differential Privacy in Federated Learning Systems EMNLP 2024
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference NIPS 2024
The Sample-Communication Complexity Trade-off in Federated Q-Learning NIPS 2024
$\texttt{pfl-research}$: simulation framework for accelerating research in Private Federated Learning NIPS 2024
Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors NIPS 2024
HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning NIPS 2024
On Sampling Strategies for Spectral Model Sharding NIPS 2024
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning NIPS 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs NIPS 2024
SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead NIPS 2024