Federated Learning

Personalized Federated Graph-Level Clustering Network AAAI 2026 Personalized Federated Learning with Bidirectional Communication Compression via One-Bit Random Sketching AAAI 2026 Personalized Image Privacy Advisors via Federated Daisy-Chaining WACV 2026 Plug-and-Play Parameter-Efficient Tuning of Embeddings for Federated Recommendation AAAI 2026 Poisoning with a Pill: Circumventing Detection in Federated Learning AAAI 2026 Pose-guided Enriched Feature Learning for Federated-by-camera Person Re-identification CVPR 2026 PPFL: A Parameter Behavior-Driven Plug-in Personalization Engine for Federated Learning AAAI 2026 Probabilistic Hash Embeddings for Online Learning of Categorical Features AAAI 2026 ProxyFL: A Proxy-Guided Framework for Federated Semi-Supervised Learning CVPR 2026 RB-LoRA: Rank-Balanced Aggregation for Low-Rank Adaptation with Federated Fine-Tuning EACL 2026 RCMoE: A Communication-Efficient Random Compression Framework for Resource-Constrained Mixture-of-Experts Training AAAI 2026 Re-architecting Personalized Federated Learning for Demanding Edge Environments AAAI 2026 Reinforce Trustworthiness in Multimodal Emotional Support System AAAI 2026 REMISVFU: Vertical Federated Unlearning via Representation Misdirection for Intermediate Output Feature AAAI 2026 Retaliatory Attacks Against Federated Unlearning via Data Leakage AAAI 2026 Ripple Shapley: Data Influence Attribution in One Federated Training Run AAAI 2026 Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size? AAAI 2026 SD-CSFL: A Synthetic Data-Driven Conformity Scoring Framework for Robust Federated Learning WACV 2026 SecureGate: Learning When to Reveal PII Safely via Token-Gated Dual-Adapters for Federated LLMs ACL 2026 SFedHIFI: Fire Rate-Based Heterogeneous Information Fusion for Spiking Federated Learning AAAI 2026 ShadeEdit: A Utility-Preserving and Defense-Evasive Knowledge Manipulation Attack in Federated LLMs AAAI 2026 SMoFi: Step-wise Momentum Fusion for Split Federated Learning on Heterogeneous Data AAAI 2026 Tackling Resource-Constrained and Data-Heterogeneity in Federated Learning with Double-Weight Sparse Pack AAAI 2026 TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models AAAI 2026 Topological Federated Clustering via Gravitational Potential Fields Under Local Differential Privacy AAAI 2026