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Artificial Intelligence
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Federated Learning
1355 directly classified papers
Papers per year
2010: 1
2011: 1
2012: 7
2013: 2
2014: 2
2015: 4
2016: 4
2017: 5
2018: 11
2019: 20
2020: 70
2021: 131
2022: 208
2023: 289
2024: 233
2025: 257
2026: 110
Papers
Federated Learning over Connected Modes
NIPS 2024
TransFed: A Way To Epitomize Focal Modulation Using Transformer-Based Federated Learning
WACV 2024
Towards Efficient Replay in Federated Incremental Learning
CVPR 2024
pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning
NIPS 2024
MetaVers: Meta-Learned Versatile Representations for Personalized Federated Learning
WACV 2024
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning
CVPR 2024
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
CVPR 2024
FedMef: Towards Memory-efficient Federated Dynamic Pruning
CVPR 2024
Generalizable Multilingual Hate Speech Detection on Low Resource Indian Languages using Fair Selection in Federated Learning
NAACL 2024
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation
NIPS 2024
A Hassle-free Algorithm for Strong Differential Privacy in Federated Learning Systems
EMNLP 2024
Device-Wise Federated Network Pruning
CVPR 2024
FedAS: Bridging Inconsistency in Personalized Federated Learning
CVPR 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA
EMNLP 2024
Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis
NIPS 2024
A Survey on Efficient Federated Learning Methods for Foundation Model Training
IJCAI 2024
Low-Resource Machine Translation through the Lens of Personalized Federated Learning
EMNLP 2024
Knowledge Distillation in Federated Learning: A Practical Guide
IJCAI 2024
Hierarchical Federated Learning with Multi-Timescale Gradient Correction
NIPS 2024
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning
IJCAI 2024
Enhancing Byzantine-Resistant Aggregations with Client Embedding
EMNLP 2024
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding
COLING 2024
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
AAAI 2024
Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms
AAAI 2024
Personalized Federated Learning for Cross-City Traffic Prediction
IJCAI 2024
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