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On-Device LLMs for SMEs: Challenges and Opportunities
Arxiv
0+阅读 · 10月21日
On-Device LLMs for SMEs: Challenges and Opportunities
Arxiv
0+阅读 · 10月22日
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
Arxiv
0+阅读 · 10月17日
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
Arxiv
0+阅读 · 7月17日
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
Arxiv
0+阅读 · 6月5日
SimulTron: On-Device Simultaneous Speech to Speech Translation
Arxiv
0+阅读 · 6月4日
HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning
HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning
Arxiv
0+阅读 · 5月10日
Thoughtful Things: Building Human-Centric Smart Devices with Small Language Models
Arxiv
0+阅读 · 5月6日
In Situ AI Prototyping: Infusing Multimodal Prompts into Mobile Settings with MobileMaker
Arxiv
0+阅读 · 5月6日
Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences
Arxiv
0+阅读 · 4月3日
HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning
Arxiv
0+阅读 · 3月7日
Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation
Arxiv
0+阅读 · 1月26日
Evaluating Privacy Leakage in Split Learning
Arxiv
0+阅读 · 1月19日
FP-Fed: Privacy-Preserving Federated Detection of Browser Fingerprinting
Arxiv
0+阅读 · 2023年11月28日
Cost-Driven Hardware-Software Co-Optimization of Machine Learning Pipelines
Cost-Driven Hardware-Software Co-Optimization of Machine Learning Pipelines
Arxiv
0+阅读 · 2023年10月19日
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