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cs.CR2024
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation
Hanlin Gu, Jiahuan Luo, Yan Kang +5
Federated learning (FL) has emerged as a collaborative approach that allows multiple clients to jointly learn a machine learning model without sharing their private data. The conce…
cs.DC2024
Decentralized AI: Permissionless LLM Inference on POKT Network
Daniel Olshansky, Ramiro Rodriguez Colmeiro, Bowen Li
POKT Network's decentralized Remote Procedure Call (RPC) infrastructure, surpassing 740 billion requests since launching on MainNet in 2020, is well-positioned to extend into provi…