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Found 6 papers, 2 papers with code
De-DSI: Decentralised Differentiable Search Index
This study introduces De-DSI, a novel framework that fuses large language models (LLMs) with genuine decentralization for information retrieval, particularly employing the differentiable search index (DSI) concept in a decentralized setting.
Augmenting LLMs with Knowledge: A survey on hallucination prevention
Large pre-trained language models have demonstrated their proficiency in storing factual knowledge within their parameters and achieving remarkable results when fine-tuned for downstream natural language processing tasks.
Towards Sybil Resilience in Decentralized Learning
Numerous studies have been conducted on improving the resilience of federated learning against poisoning and Sybil attacks, whereas the resilience of decentralized learning remains largely unstudied.
G-Rank: Unsupervised Continuous Learn-to-Rank for Edge Devices in a P2P Network
Furthermore, we show that such results are obtainable with minimal data preprocessing and computational overhead, and can still return highly relevant results even when a user's device is disconnected from the network.
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments
We show that when the training classes are non-i. i. d., Bristle significantly outperforms the accuracy of the most Byzantine-resilient baselines by 2. 3x while reducing communication costs by 90%.
A Self-Compiling Android Data Obfuscation Tool
Smartphones are becoming more significant in storing and transferring data.
Cryptography and Security
