2 papers
cs.DC2025
FFTrainer: Fast Failover in Large-Language Model Training with Almost-Free State Management
Bohan Zhao, Yuanhong Wang, Chenglin Liu +6
Recent developments in large language models (LLMs) have introduced new requirements for efficient and robust training. As LLM clusters scale, node failures, lengthy recoveries, an…
cs.CR2025
Harmless Backdoor-based Client-side Watermarking in Federated Learning
Kaijing Luo, Ka-Ho Chow
Protecting intellectual property (IP) in federated learning (FL) is increasingly important as clients contribute proprietary data to collaboratively train models. Model watermarkin…