3 papers
cs.DC2026
CWind: A Cross-site Router for Large Language Model Inference Serving at Renewable Energy Farms
Tella Rajashekhar Reddy, Atharva Deshmukh, Liangcheng Yu +7
AI power demand is growing at an unprecedented rate while power grids are often ailing and struggle to keep up. Grid expansion comes with high capital expenditure and long-distance…
cs.DC2025
BeLLMan: Controlling LLM Congestion
Tella Rajashekhar Reddy, Atharva Deshmukh, Karan Tandon +3
Large language model (LLM) applications are blindfolded to the infrastructure underneath and generate tokens autoregressively, indifferent to the system load, thus risking inferenc…
cs.LG2024
Byzantine-Robust Federated Learning: An Overview With Focus on Developing Sybil-based Attacks to Backdoor Augmented Secure Aggregation Protocols
Atharv Deshmukh
Federated Learning (FL) paradigms enable large numbers of clients to collaboratively train Machine Learning models on private data. However, due to their multi-party nature, tradit…