Federated Learning
1,560 papers
Papers per year
1
1
7
2
2
4
4
5
13
20
77
143
228
328
289
306
130
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'25
Papers
Understanding Impact of Human Feedback via Influence Functions
ACL 2025
Understanding the Stability-based Generalization of Personalized Federated Learning
ICLR 2025
Universal Backdoor Defense via Label Consistency in Vertical Federated Learning
IJCAI 2025
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter
CVPR 2025
Unlocking the Potential of Model Calibration in Federated Learning
ICLR 2025
Vertical Federated Learning with Missing Features During Training and Inference
ICLR 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning
AAAI 2025
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling
AAAI 2025
X-FLoRA: Cross-modal Federated Learning with Modality-expert LoRA for Medical VQA
EMNLP 2025
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data
ICCV 2025
Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric
IJCAI 2025
pfl-research: simulation framework for accelerating research in Private Federated Learning
NeurIPS 2024
A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings
NeurIPS 2024
A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning
IJCAI 2024
Accurate Forgetting for Heterogeneous Federated Continual Learning
ICLR 2024
A Cluster-based Personalized Federated Learning Strategy for End-to-End ASR of Dementia Patients
Interspeech 2024
A Comparative Analysis of Federated Learning for Speech-Based Cognitive Decline Detection
Interspeech 2024
Adapted Weighted Aggregation in Federated Learning
AAAI 2024
Adaptive Compression in Federated Learning via Side Information
AISTATS 2024
Adaptive Federated Learning with Auto-Tuned Clients
ICLR 2024
Adaptive Federated Minimax Optimization with Lower Complexities
AISTATS 2024
Adaptive Hyper-graph Aggregation for Modality-Agnostic Federated Learning
CVPR 2024
A deep learning approach for distributed aggregative optimization with users’ Feedback
L4DC 2024
Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms
AAAI 2024
A Federated Learning Approach to Privacy Preserving Offensive Language Identification
COLING 2024