conftrace_

model aggregation

156 papers

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Co-occurring keywords

federated learning (1333) non-iid datum (109) distributed learning (563) data heterogeneity (115) privacy preservation (380) knowledge distillation (3725) personalized model (89) client heterogeneity (44) personalized federated learning (50) domain adaptation (4595)

Papers

FedAS: Bridging Inconsistency in Personalized Federated Learning CVPR 2024
A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm NIPS 2024
Low Precision Local Training is Enough for Federated Learning NIPS 2024
Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning AAAI 2024
LR-XFL: Logical Reasoning-Based Explainable Federated Learning AAAI 2024
Revisiting Ensembling in One-Shot Federated Learning NIPS 2024
HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links NIPS 2024
pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning NIPS 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs NIPS 2024
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update AAAI 2024
A Primal-Dual Algorithm for Hybrid Federated Learning AAAI 2024
FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning IJCAI 2024
NYCU-NLP at SemEval-2024 Task 2: Aggregating Large Language Models in Biomedical Natural Language Inference for Clinical Trials NAACL 2024
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data NIPS 2024
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise AAAI 2024
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity CVPR 2024
Byzantine-robust Decentralized Federated Learning via Dual-domain Clustering and Trust Bootstrapping CVPR 2024
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data CVPR 2024
Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets AAAI 2024
TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients AAAI 2024
Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective AAAI 2024
FedHCA2: Towards Hetero-Client Federated Multi-Task Learning CVPR 2024
FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning CVPR 2024
Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction AAAI 2024
On the Strategyproofness of the Geometric Median AISTATS 2023