55 citations · 65 across the 5 of their papers we have counts for
5 papers
Privacy-preserving Decentralized Aggregation for Federated Learning
Beomyeol Jeon, S. M. Ferdous, Muntasir Raihan Rahman +1
Federated learning is a promising framework for learning over decentralized data spanning multiple regions. This approach avoids expensive central training data aggregation cost an…
Deep Reinforcement Learning for Network Slicing with Heterogeneous Resource Requirements and Time Varying Traffic Dynamics
Jaehoon Koo, Veena B. Mendiratta, Muntasir Raihan Rahman +1
Efficient network slicing is vital to deal with the highly variable and dynamic characteristics of network traffic generated by a varied range of applications. The problem is made…
Inferring Formal Properties of Production Key-Value Stores
Edgar Pek, Pranav Garg, Muntasir Raihan Rahman +3
Production distributed systems are challenging to formally verify, in particular when they are based on distributed protocols that are not rigorously described or fully understood.…
Characterizing and Adapting the Consistency-Latency Tradeoff in Distributed Key-value Stores
Muntasir Raihan Rahman, Lewis Tseng, Son Nguyen +2
The CAP theorem is a fundamental result that applies to distributed storage systems. In this paper, we first present and prove two CAP-like impossibility theorems. To state these t…
Toward a Principled Framework for Benchmarking Consistency
Muntasir Raihan Rahman, Wojciech Golab, Alvin AuYoung +2
Large-scale key-value storage systems sacrifice consistency in the interest of dependability (i.e., partition tolerance and availability), as well as performance (i.e., latency). S…