3 papers
cs.AI2026
Beyond Independent Optimization: Compression, MoE Routing, and Quantization Interactions in Multimodal Edge Intelligence
Jay Gor, Karm Dave, Akshita Abrol +3
Efficient multimodal inference is increasingly constrained not only by model quality or FLOP count, but also by the cost of preserving, moving, routing, caching, and quantizing mul…
cs.NI2024
FaiRTT: An Empirical Approach for Enhanced RTT Fairness and Bottleneck Throughput in BBR
Akshita Abrol, Purnima Murali Mohan, Tram Truong-Huu
In next-generation networks, achieving Round-trip Time (RTT) fairness is essential for ensuring fair bandwidth distribution among diverse flow types, enhancing overall network util…
cs.NI2024
A Deep Reinforcement Learning Approach for Adaptive Traffic Routing in Next-gen Networks
Akshita Abrol, Purnima Murali Mohan, Tram Truong-Huu
Next-gen networks require significant evolution of management to enable automation and adaptively adjust network configuration based on traffic dynamics. The advent of software-def…