Learning to Schedule: A Supervised Learning Framework for Network-Aware Scheduling of Data-Intensive Workloads
Paper • 2510.21419 • Published
honours project
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Chimera: Latency- and Performance-Aware Multi-agent Serving for Heterogeneous LLMs
Paper • 2603.22206 • Published -
KernelOracle: Predicting the Linux Scheduler's Next Move with Deep Learning
Paper • 2505.15213 • Published -
Enhancing Cluster Scheduling in HPC: A Continuous Transfer Learning for Real-Time Optimization
Paper • 2509.22701 • Published • 1 -
Decentralized Federated Learning with Model Caching on Mobile Agents
Paper • 2408.14001 • Published -
REACH: Reinforcement Learning for Efficient Allocation in Community and Heterogeneous Networks
Paper • 2508.12857 • Published -
Resource-Constrained Federated Continual Learning: What Does Matter?
Paper • 2501.08737 • Published -
Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Scheduling
Paper • 2408.13510 • Published