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2020 – today
- 2024
[j1]Akrit Mudvari
, Antero Vainio, Iason Ofeidis, Sasu Tarkoma, Leandros Tassiulas:
Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency. ACM Trans. Internet Techn. 24(4): 1-26 (2024)- [c7]Akrit Mudvari, Leandros Tassiulas:
Joint SDN Synchronization and Controller Placement in Wireless Networks using Deep Reinforcement Learning. NOMS 2024: 1-9 - [i6]Ioannis Panitsas, Akrit Mudvari, Leandros Tassiulas:
Constrained Reinforcement Learning for Adaptive Controller Synchronization in Distributed SDN. CoRR abs/2403.08775 (2024) - [i5]Ioannis Panitsas, Akrit Mudvari, Ali Maatouk, Leandros Tassiulas:
Predictive Handover Strategy in 6G and Beyond: A Deep and Transfer Learning Approach. CoRR abs/2404.08113 (2024) - [i4]Panagiotis Promponas, Akrit Mudvari, Luca Della Chiesa, Paul Polakos, Louis G. Samuel, Leandros Tassiulas:
Compiler for Distributed Quantum Computing: a Reinforcement Learning Approach. CoRR abs/2404.17077 (2024) - [i3]Akrit Mudvari, Yuang Jiang, Leandros Tassiulas:
SplitLLM: Collaborative Inference of LLMs for Model Placement and Throughput Optimization. CoRR abs/2410.10759 (2024) - 2023
- [c6]Akrit Mudvari, Konstantinos Poularakis, Leandros Tassiulas:
Robust SDN Synchronization in Mobile Networks Using Deep Reinforcement and Transfer Learning. ICC 2023: 1080-1085 - [c5]Antero Vainio, Akrit Mudvari, Diego Kiedanski, Sasu Tarkoma, Leandros Tassiulas:
Fog Computing for Deep Learning with Pipelines. ICFEC 2023: 64-72 - [i2]Akrit Mudvari, Leandros Tassiulas:
Joint SDN Synchronization and Controller Placement in Wireless Networks using Deep Reinforcement Learning. CoRR abs/2311.05582 (2023) - [i1]Akrit Mudvari, Antero Vainio, Iason Ofeidis, Sasu Tarkoma, Leandros Tassiulas:
Deep Learning Architecture for Network-Efficiency at the Edge. CoRR abs/2311.05739 (2023) - 2022
- [c4]Akrit Mudvari, Nikos Makris, Leandros Tassiulas:
Exploring ML methods for Dynamic Scaling of beyond 5G Cloud-Native RANs. ICC 2022: 2284-2289 - 2021
- [c3]Akrit Mudvari, Nikos Makris, Leandros Tassiulas:
ML-driven scaling of 5G Cloud-Native RANs. GLOBECOM 2021: 1-6
2010 – 2019
- 2019
- [c2]Geng Li, Akrit Mudvari, Kerim Gokarslan, Patrick Baker, Sastry Kompella, Franck Le, Kelvin M. Marcus, Jeremy Tucker, Yang Richard Yang, Paul L. Yu:
Magnalium: Highly Reliable SDC Networks with Multiple Control Plane Composition. SMARTCOMP 2019: 93-98 - 2017
- [c1]Akrit Mudvari, Taikang Ning:
Respiration estimation and apnea detection using fuzzy logic. EMBC 2017: 2818-2821
Coauthor Index
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