federated learning

AFL-PRF: Adaptive Federated Learning for Low-Quality Data: Enhancing Performance, Robustness, and Fairness WACV 2026 A Unified Convergence Analysis for Semi-Decentralized Learning: Sampled-to-Sampled vs. Sampled-to-All Communication AAAI 2026 A Unified Self-Regulating Training Framework for Federated Deep Reinforcement Learning AAAI 2026 Bant: Byzantine Antidote via Trial Function and Trust Scores AAAI 2026 Batman: Benign Knowledge Alignment Through Malicious Null Space in Federated Backdoor Attack CVPR 2026 Bayesian Network Structural Consensus via Greedy Min-Cut Analysis AAAI 2026 Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge ACL 2026 Bi-level Personalization for Federated Foundation Models: A Task-vector Aggregation Approach AAAI 2026 BIQ: Bisection Interval Quantization for Communication-efficient Federated Learning AAAI 2026 Byzantine-Robust and Differentially Private Federated Optimization under Weaker Assumptions UAI 2026 Can Optimal Transport Improve Federated Inverse Reinforcement Learning? L4DC 2026 Causally-Aware Attribute Completion for Incomplete Federated Graph Clustering AAAI 2026 Communication-Efficient Heterogeneous Federated Learning with Sparse Prototypes in Resource-Constrained Environments 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 DA-DFGAS:Differentiable Federated Graph Neural Architecture Search with Distribution-Aware Attentive Aggregation AAAI 2026 DAWN: Distributed LLM Multi-Agent Workflow Synthesis AAAI 2026 Decoupling Shared and Personalized Knowledge: A Dual-Branch Federated Learning Framework for Multi-Domain with Non-IID Data AAAI 2026 Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation AAAI 2026 DoBlock: Blocking Malicious Association Propagation for Backdoor-Robust Federated Learning Under Domain Skew AAAI 2026 Does Locality Cost in Polish Medical Text Classification? Duplicate-Aware Evaluation of Federated Learning ACL 2026 Domain-Aware Suppression and Aggregation for Federated DG ReID AAAI 2026 Domain Sensitive Federated Learning with Fisher-Informed Pruning CVPR 2026 Domain-Skewed Federated Learning with Feature Decoupling and Calibration CVPR 2026 DP-FedAdamW: An Efficient Optimizer for Differentially Private Federated Large Models CVPR 2026