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the intern
@0xtheintern
this is why Bagel - Monetizable Open Source AI™ is so out of this world! let's explore the paper that bidhan roy (Bagel's Founder) shared. ZKLoRA addresses 02 critical requirements in untrusted, distributed training environments ... ↪️ i read so you don't have to 👇🧵
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the intern
@0xtheintern
🙌 Key Features & Technical Solution ZKLoRA Protocol Components: - Verification takes only 1-2 seconds per LoRA module, even with large language models - Uses zero-knowledge proofs and Multi-Party Inference for verification - Provides deterministic correctness guarantees Multi-Party Inference Process: - Base model user and LoRA contributor exchange partial activations ("Base Acts" and "LoRA Acts") - LoRA contributor processes activations without revealing low-rank matrices - Generates cryptographic proofs for verification
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the intern
@0xtheintern
🙌 Technical Implementation 03-step verification process: 1. Multi-Party Inference between base model user and LoRA contributor 2. Proof generation by the LoRA contributor 3. Verification by the base model user Technical Innovations: - Cryptographic Circuit Compilation for LoRA transformations - Recursive Proof Systems (Nova/HyperNova) - Incrementally Verifiable Computation (IVC)
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the intern
@0xtheintern
🙌 Results & Efficiency - Successfully tested across various model sizes (from DistilGPT2 to 70B parameter models) - Verification time scales linearly but remains practical (80 modules verified in minutes) - Benchmark results show verification times of 31-74 seconds per module for large models like LLaMA-70B and Mixtral-8x7B 🙌 Applications & Benefits - Enables secure collaboration in decentralized teams - Supports contract-based training pipelines - Protects intellectual property while ensuring compatibility - Privacy-preserving verification with deterministic guarantees 🙌 Future Directions - Adding polynomial commitments for end-to-end verifiability - Supporting multi-contributor LoRAs - Enhancing data privacy - Integrating advanced ZKPs for performance improvements **Conclusion:** ZKLoRA successfully bridges the gap between privacy and practicality in AI model fine-tuning, enabling secure and efficient collaboration while protecting intellectual property.
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