client-server architecture

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