2 citations · 5 across the 6 of their papers we have counts for
7 papers
D2Q Synchronizer: Distributed SDN Synchronization for Time Sensitive Applications
Ioannis Panitsas, Akrit Mudvari, Leandros Tassiulas
In distributed Software-Defined Networking (SDN), distributed SDN controllers require synchronization to maintain a global network state. Despite the availability of synchronizatio…
SplitLLM: Collaborative Inference of LLMs for Model Placement and Throughput Optimization
Akrit Mudvari, Yuang Jiang, Leandros Tassiulas
Large language models (LLMs) have been a disruptive innovation in recent years, and they play a crucial role in our daily lives due to their ability to understand and generate huma…
Compiler for Distributed Quantum Computing: a Reinforcement Learning Approach
Panagiotis Promponas, Akrit Mudvari, Luca Della Chiesa +3
The practical realization of quantum programs that require large-scale qubit systems is hindered by current technological limitations. Distributed Quantum Computing (DQC) presents…
Predictive Handover Strategy in 6G and Beyond: A Deep and Transfer Learning Approach
Ioannis Panitsas, Akrit Mudvari, Ali Maatouk +1
Next-generation cellular networks will evolve into more complex and virtualized systems, employing machine learning for enhanced optimization and leveraging higher frequency bands…
Constrained Reinforcement Learning for Adaptive Controller Synchronization in Distributed SDN
Ioannis Panitsas, Akrit Mudvari, Leandros Tassiulas
In software-defined networking (SDN), the implementation of distributed SDN controllers, with each controller responsible for managing a specific sub-network or domain, plays a cri…
Joint SDN Synchronization and Controller Placement in Wireless Networks using Deep Reinforcement Learning
Akrit Mudvari, Leandros Tassiulas
Software Defined Networking has afforded numerous benefits to the network users but there are certain persisting issues with this technology, two of which are scalability and priva…
Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency
Akrit Mudvari, Antero Vainio, Iason Ofeidis +2
The growing number of AI-driven applications in mobile devices has led to solutions that integrate deep learning models with the available edge-cloud resources. Due to multiple ben…