Federated Learning

Decentralized Federated Learning with Model Caching on Mobile Agents AAAI 2025 Decentralized Low-Rank Fine-Tuning of Large Language Models ACL 2025 Decoupled Subgraph Federated Learning ICLR 2025 Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning AAAI 2025 dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis CVPR 2025 Differentially Private Federated Learning with Time-Adaptive Privacy Spending ICLR 2025 Diffusion-Based Active Learning for Distributed Client Manifolds AAAI 2025 Distilling A Universal Expert from Clustered Federated Learning IJCAI 2025 Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis JMLR 2025 Dual-calibrated Co-training Framework for Personalized Federated Semi-Supervised Medical Image Segmentation AAAI 2025 DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game AAAI 2025 Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee IJCAI 2025 EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning AAAI 2025 ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks IJCAI 2025 EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models EMNLP 2025 Efficient Federated Learning via Clients-to-Server Knowledge Distillation (Student Abstract) AAAI 2025 EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity AAAI 2025 ELF: Federated Langevin Algorithms with Primal, Dual and Bidirectional Compression UAI 2025 Enhancing Model Privacy in Federated Learning with Random Masking and Quantization EMNLP 2025 Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy AAAI 2025 Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning IJCAI 2025 Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning AAAI 2025 Exploiting Label Skewness for Spiking Neural Networks in Federated Learning IJCAI 2025 Exploring Vacant Classes in Label-Skewed Federated Learning AAAI 2025 F^3OCUS - Federated Finetuning of Vision-Language Foundation Models with Optimal Client Layer Updating Strategy via Multi-objective Meta-Heuristics CVPR 2025