Federated Learning Framework for Privacy-Preserving Kidney Stone Detection

🤖 AI/ML Daily Signal — Morning Edition 15 Sep 2026 · 07:54 UTC ──────────────────────────────── 🔥 1. BudgetBench: A Budget-Tiered Protocol and Pilot Harness for Memory Strategy Evaluation in Local Large Language Model Agents 🔬 arXiv cs.LG (Machine Learning) · Score: 9/10 BudgetBench introduces a protocol for evaluating memory management strategies in local LLM agents across multiple resource constraints (memory, prefill latency, cache growth). This is essential for practitioners deploying agents with hardware limitations and SLA requirements. Read more → ⭐ 2. Task-Aware Federated Fine-Tuning for MoE-based Large Language Models 🔬 arXiv cs.LG (Machine Learning) · Score: 8/10 Proposes task-aware federated fine-tuning methods for Mixture-of-Experts LLMs, optimizing for both model capacity and computational efficiency. Critical for practitioners implementing privacy-preserving, distributed LLM deployment. Read more → ⭐ 3. AttnFuse: A Composable DSL for Compiling Attentions to Fused GPU Kernels 🔬 arXiv cs.LG (Machine Learning) · Score: 8/10 AttnFuse presents a DSL for compiling attention operations to fused GPU kernels, reducing computation and memory bottlenecks. Practical tool for acce