Agentic Witnessing enables privacy-preserving auditing of semantic properties in private data by running an LLM auditor in a TEE that answers binary queries and produces cryptographic transcripts of its reasoning.
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2026 3verdicts
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A CPU-GPU hybrid design with stream-loading prefill, expert parallelism, and disaggregation achieves cloud SLOs for local MoE inference on dual-socket CPUs and consumer GPUs.
A method using shared-memory occupancy shaping and elevated communication priority achieves up to 25.5% faster multi-GPU ML execution on NVIDIA and AMD GPUs.
citing papers explorer
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Agentic Witnessing: Pragmatic and Scalable TEE-Enabled Privacy-Preserving Auditing
Agentic Witnessing enables privacy-preserving auditing of semantic properties in private data by running an LLM auditor in a TEE that answers binary queries and produces cryptographic transcripts of its reasoning.
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Achieving Cloud-Grade SLOs for Local Mixture-of-Experts Inference through CPU-GPU Hybrid Design
A CPU-GPU hybrid design with stream-loading prefill, expert parallelism, and disaggregation achieves cloud SLOs for local MoE inference on dual-socket CPUs and consumer GPUs.
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Resource-aware Computation-Communication Overlap for multi-GPU ML Workloads
A method using shared-memory occupancy shaping and elevated communication priority achieves up to 25.5% faster multi-GPU ML execution on NVIDIA and AMD GPUs.