Akrit Mudvari

According to our database, Akrit Mudvari authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency.

Akrit Mudvari, Antero Vainio, Iason Ofeidis, Sasu Tarkoma, Leandros Tassiulas

ACM Trans. Internet Techn., 2024

SplitLLM: Collaborative Inference of LLMs for Model Placement and Throughput Optimization.

Akrit Mudvari, Yuang Jiang, Leandros Tassiulas

CoRR, 2024

Compiler for Distributed Quantum Computing: a Reinforcement Learning Approach.

Panagiotis Promponas, Akrit Mudvari, Luca Della Chiesa, Paul Polakos, Louis G. Samuel, Leandros Tassiulas

CoRR, 2024

Predictive Handover Strategy in 6G and Beyond: A Deep and Transfer Learning Approach.

Ioannis Panitsas, Akrit Mudvari, Ali Maatouk, Leandros Tassiulas

CoRR, 2024

Constrained Reinforcement Learning for Adaptive Controller Synchronization in Distributed SDN.

Ioannis Panitsas, Akrit Mudvari, Leandros Tassiulas

CoRR, 2024

Joint SDN Synchronization and Controller Placement in Wireless Networks using Deep Reinforcement Learning.

Akrit Mudvari, Leandros Tassiulas

Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

2023

Deep Learning Architecture for Network-Efficiency at the Edge.

Akrit Mudvari, Antero Vainio, Iason Ofeidis, Sasu Tarkoma, Leandros Tassiulas

CoRR, 2023

Fog Computing for Deep Learning with Pipelines.

Antero Vainio, Akrit Mudvari, Diego Kiedanski, Sasu Tarkoma, Leandros Tassiulas

Proceedings of the 7th IEEE International Conference on Fog and Edge Computing, 2023

Robust SDN Synchronization in Mobile Networks Using Deep Reinforcement and Transfer Learning.

Akrit Mudvari, Konstantinos Poularakis, Leandros Tassiulas

Proceedings of the IEEE International Conference on Communications, 2023

2022

Exploring ML methods for Dynamic Scaling of beyond 5G Cloud-Native RANs.

Akrit Mudvari, Nikos Makris, Leandros Tassiulas

Proceedings of the IEEE International Conference on Communications, 2022

2021

ML-driven scaling of 5G Cloud-Native RANs.

Akrit Mudvari, Nikos Makris, Leandros Tassiulas

Proceedings of the IEEE Global Communications Conference, 2021

2019

Magnalium: Highly Reliable SDC Networks with Multiple Control Plane Composition.

Geng Li, Akrit Mudvari, Kerim Gokarslan, Patrick Baker, Sastry Kompella, Franck Le, Kelvin M. Marcus, Jeremy Tucker, Yang Richard Yang, Paul L. Yu

Proceedings of the IEEE International Conference on Smart Computing, 2019

2017

Respiration estimation and apnea detection using fuzzy logic.

Akrit Mudvari, Taikang Ning

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017