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Federated Learning

894 papers

Papers per year

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1
37
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Papers

FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning AAAI 2025
Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology AAAI 2025
PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning AAAI 2025
FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning AAAI 2025
Diffusion-Based Active Learning for Distributed Client Manifolds AAAI 2025
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning AAAI 2025
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning AAAI 2025
An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing AAAI 2025
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning AAAI 2025
TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization AAAI 2025
Convergence Analysis of Federated Learning Methods Using Backward Error Analysis AAAI 2025
LiD-FL: Towards List-Decodable Federated Learning AAAI 2025
Federated Graph-Level Clustering Network AAAI 2025
SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning AAAI 2025
Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning AAAI 2025
FedCross: Intertemporal Federated Learning Under Evolutionary Games AAAI 2025
Label-Free Backdoor Attacks in Vertical Federated Learning AAAI 2025
Co-Dream: Collaborative Dream Synthesis over Decentralized Models AAAI 2025
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling AAAI 2025
Graph Consistency and Diversity Measurement for Federated Multi-View Clustering AAAI 2025
Learn How to Query from Unlabeled Data Streams in Federated Learning AAAI 2025
Reputation-aware Revenue Allocation for Auction-based Federated Learning AAAI 2025
Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt AAAI 2025
Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness AAAI 2025
Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning AAAI 2025