model aggregation

Bant: Byzantine Antidote via Trial Function and Trust Scores AAAI 2026 Bayesian Network Structural Consensus via Greedy Min-Cut Analysis AAAI 2026 CoLM: Collaborative Large Models via a Client-Server Paradigm AAAI 2026 CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning WACV 2026 Data Heterogeneity and Forgotten Labels in Split Federated Learning AAAI 2026 Domain-Aware Suppression and Aggregation for Federated DG ReID AAAI 2026 FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation EACL 2026 HFedATM: Hierarchical Federated Domain Generalization via Optimal Transport and Regularized Mean Aggregation CVPR 2026 Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models AAAI 2026 Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models AAAI 2026 SFedHIFI: Fire Rate-Based Heterogeneous Information Fusion for Spiking Federated Learning AAAI 2026 Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation WACV 2025 AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models CVPR 2025 Class-Wise Federated Averaging for Efficient Personalization ICCV 2025 Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing ICCV 2025 Co-Dream: Collaborative Dream Synthesis over Decentralized Models AAAI 2025 CSAHFL:Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks IJCAI 2025 DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework AAAI 2025 Decentralized Federated Learning with Model Caching on Mobile Agents AAAI 2025 dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis CVPR 2025 Distilling A Universal Expert from Clustered Federated Learning IJCAI 2025 DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation AAAI 2025 Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning IJCAI 2025 Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing AAAI 2025 FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data IJCAI 2025