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cs.DC2026
Capacity over TFLOPS: Memory-Centric Deployment of Large Clinical Language Models on Consumer CPUs
Eli Yune, Umer Majeed, Mahesh Balan
The dominant barrier to running large clinical language models at the point of care is not arithmetic throughput but graphics memory: consumer GPUs cap at 4-16 GB, while the workin…
cs.DC2026
FLAI Protocol: Decentralized Federated Learning with On-Chain Rewards and sPEG-Based Contribution Scoring
Eli Yune, Mahesh Balan
Federated learning (FL) enables collaborative model training without data centralization but struggles with incentive alignment, accountability, and robustness under heterogeneous…