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Federated Learning

1355 directly classified papers

Papers per year

Papers

Hierarchical Federated Learning with Multi-Timescale Gradient Correction NIPS 2024
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning IJCAI 2024
Federated Online Adaptation for Deep Stereo CVPR 2024
Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space CVPR 2024
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding COLING 2024
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning CVPR 2024
FedMef: Towards Memory-efficient Federated Dynamic Pruning CVPR 2024
Personalized Federated Learning for Cross-City Traffic Prediction IJCAI 2024
Device-Wise Federated Network Pruning CVPR 2024
FedAS: Bridging Inconsistency in Personalized Federated Learning CVPR 2024
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning NIPS 2024
FedES: Federated Early-Stopping for Hindering Memorizing Heterogeneous Label Noise IJCAI 2024
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data CVPR 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning CVPR 2024
Bayesian Regression Markets JMLR 2024
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning IJCAI 2024
Personalized Federated X-armed Bandit AISTATS 2024
A Hassle-free Algorithm for Strong Differential Privacy in Federated Learning Systems EMNLP 2024
FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning IJCAI 2024
Federated Ensemble-Directed Offline Reinforcement Learning NIPS 2024
Scalable Distance-based Multi-Agent Relative State Estimation via Block Multiconvex Optimization RSS 2024
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models EMNLP 2024
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning CVPR 2024
Byzantine-robust Decentralized Federated Learning via Dual-domain Clustering and Trust Bootstrapping CVPR 2024
Less is Fed More: Sparsity Reduces Feature Distortion in Federated Learning EMNLP 2024