A Survey on Foundation Models for Personalized Federated Intelligence
cs.AI, cs.CV, cs.NE
Submitted: 2025-05-11
Updated: 2026-05-18
Comments: Accepted ACM Computing Survey
Journal ref: ACM Comput. Surv. (2026)
DOI: 10.1145/3844947
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
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- Federated Learning with Personalization Layers
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- A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning
- On the Opportunities and Risks of Foundation Models
- Phantom: General Backdoor Attacks on Retrieval Augmented Language Generation
- A Pathway Towards Responsible AI Generated Content
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- Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation
- INTELLECT-1 Technical Report
- Visual Reasoning Evaluation of Grok, Deepseek Janus, Gemini, Qwen, Mistral, and ChatGPT
- A Comprehensive Survey of Large AI Models for Future Communications: Foundations, Applications and Challenges
- GreenScale: Carbon-Aware Systems for Edge Computing
- Synergizing Foundation Models and Federated Learning: A Survey
- DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
- Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review
- FedShield-LLM: A Secure and Scalable Federated Fine-Tuned Large Language Model
- FedEAT: A Robustness Optimization Framework for Federated LLMs
- wav2vec: Unsupervised Pre-training for Speech Recognition
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