conftrace_

client-server architecture

44 papers

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Co-occurring keywords

federated learning (1333) distributed learning (563) model aggregation (156) non-iid datum (109) personalized federated learning (50) heterogeneous datum (119) model compression (3302) split learning (20) model personalization (44) personalized model (89)

Papers

CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning WACV 2026
A Unified Self-Regulating Training Framework for Federated Deep Reinforcement Learning AAAI 2026
FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Clients AAAI 2026
CoRe-Fed: Bridging Collaborative and Representation Fairness via Federated Embedding Distillation AAAI 2026
SMoFi: Step-wise Momentum Fusion for Split Federated Learning on Heterogeneous Data AAAI 2026
FedPKDA: Personalized Federated Learning with Privacy-Preserving Knowledge Dynamic Alignment AAAI 2026
FedPop: Federated Population-based Hyperparameter Tuning AAAI 2025
PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark JMLR 2025
A Simple Data Augmentation for Feature Distribution Skewed Federated Learning CVPR 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis CVPR 2025
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach AAAI 2025
Heterogeneous Federated Learning with Scalable Server Mixture-of-Experts IJCAI 2025
Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning ICCV 2025
Sharp Bounds for Sequential Federated Learning on Heterogeneous Data JMLR 2025
Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data ICCV 2025
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients NIPS 2024
Low Precision Local Training is Enough for Federated Learning NIPS 2024
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views NIPS 2024
Federated Automatic Differentiation JMLR 2024
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space AAAI 2024
Open-Vocabulary Federated Learning with Multimodal Prototyping NAACL 2024
Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction EMNLP 2024
CoBo: Collaborative Learning via Bilevel Optimization NIPS 2024
Safely Learning with Private Data: A Federated Learning Framework for Large Language Model EMNLP 2024
Federated Learning over Connected Modes NIPS 2024