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Federated Learning

164 directly classified papers

Papers per year

Papers

TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning AAAI 2025
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition IJCAI 2025
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning AAAI 2025
MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay AAAI 2025
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach AAAI 2025
On the Robustness of Distributed Machine Learning Against Transfer Attacks AAAI 2025
One-shot Federated Learning Methods: A Practical Guide IJCAI 2025
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning? AAAI 2025
Federated Graph Condensation with Information Bottleneck Principles AAAI 2025
FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning AAAI 2025
Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data AAAI 2025
FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning AAAI 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning AAAI 2025
When Cars Meet Drones: Hyperbolic Federated Learning for Source-Free Domain Adaptation in Adverse Weather WACV 2025
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning AAAI 2025
Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness AAAI 2025
FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement AAAI 2025
Towards Privacy-Preserving Split Learning for ControlNet WACV 2025
Federated Learning with Sample-level Client Drift Mitigation AAAI 2025
GAS: Generative Activation-Aided Asynchronous Split Federated Learning AAAI 2025
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis AAAI 2025
z-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning AAAI 2024
On the Role of Server Momentum in Federated Learning AAAI 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