activity
20102026
most citedMinimizing Latency for Secure Distributed Computing

77 citations · 242 across the 19 of their papers we have counts for

collaborators

21 papers

stat.ML2026

Fundamental limits of distributed multiclass classification from simple binary decisions

Ioannis Papageorgiou, Srinivas Nomula, Ayalvadi Ganesh +2

We consider the problem of constructing a -class classifier from the combination of simple binary classifiers -- this is a natural paradigm to construct a sophistica…

cs.DC2026

Bipartite matching under communication constraints

Moonmoon Mohanty, Gautham Bolar, Preetam Patil +3

In modern data center networks, thousands of hosts contend for shared link capacity; the scale of these systems makes centralized scheduling impractical. This article models such s…

cs.IT2026

Perfect Privacy and Strong Stationary Times for Markovian Sources

Fangwei Ye, Zonghong Liu, Parimal Parag +1

We consider the problem of sharing correlated data under a perfect information-theoretic privacy constraint. We focus on redaction (erasure) mechanisms, in which data are either wi…

cs.MA2026

Self-Creating Random Walks for Decentralized Learning under Pac-Man Attacks

Xingran Chen, Parimal Parag, Rohit Bhagat +1

Random walk (RW)-based algorithms have long been popular in distributed systems due to low overheads and scalability, with recent growing applications in decentralized learning. Ho…

cs.DC2025

Optimizing Resource Allocation for Geographically-Distributed Inference by Large Language Models

Tingyang Sun, Ting He, Bo Ji +1

Large language models have demonstrated extraordinary performance in many AI tasks but are expensive to use, even after training, due to their requirement of high-end GPUs. Recentl…

stat.ML2025

Random Walk Learning and the Pac-Man Attack

Xingran Chen, Parimal Parag, Rohit Bhagat +2

Random walk (RW)-based algorithms have long been popular in distributed systems due to low overheads and scalability, with recent growing applications in decentralized learning. Ho…

cs.LG2022★ 3 cited

Adaptive Stochastic Gradient Descent for Fast and Communication-Efficient Distributed Learning

Serge Kas Hanna, Rawad Bitar, Parimal Parag +2

We consider the setting where a master wants to run a distributed stochastic gradient descent (SGD) algorithm on workers, each having a subset of the data. Distributed SGD may…

cs.DC2021

Modeling Performance and Energy trade-offs in Online Data-Intensive Applications

Ajay Badita, Rooji Jinan, Balajee Vamanan +1

We consider energy minimization for data-intensive applications run on large number of servers, for given performance guarantees. We consider a system, where each incoming applicat…

cs.NI2021★ 2 cited

Latency-Redundancy Tradeoff in Distributed Read-Write Systems

Saraswathy Ramanathan, Gaurav Gautam, Vikram Srinivasan +1

Data is replicated and stored redundantly over multiple servers for availability in distributed databases. We focus on databases with frequent reads and writes, where both read and…

math.OC2021★ 3 cited

Optimal Pricing in Multi Server Systems

Ashok Krishnan K. S, Chandramani Singh, Siva Theja Maguluri +1

We study optimal service pricing in server farms where customers arrive according to a renewal process and have independent and identical () exponential service times and $…

cs.IT2020★ 5 cited

Latency optimal storage and scheduling of replicated fragments for memory-constrained servers

Rooji Jinan, Ajay Badita, Pradeep Sarvepalli +1

We consider the setting of distributed storage system where a single file is subdivided into smaller fragments of same size which are then replicated with a common replication fact…

cs.DC2020★ 2 cited

Load balancing policies without feedback using timed replicas

Rooji Jinan, Ajay Badita, Tejas Bodas +1

Dispatching policies such as the join shortest queue (JSQ), join smallest work (JSW) and their power of two variants are used in load balancing systems where the instantaneous queu…

cs.IT2020★ 3 cited

Tracking an Auto-Regressive Process with Limited Communication per Unit Time

Rooji Jinan, Parimal Parag, Himanshu Tyagi

Samples from a high-dimensional AR[1] process are observed by a sender which can communicate only finitely many bits per unit time to a receiver. The receiver seeks to form an esti…

cs.LG2020★ 16 cited

Adaptive Distributed Stochastic Gradient Descent for Minimizing Delay in the Presence of Stragglers

Serge Kas Hanna, Rawad Bitar, Parimal Parag +2

We consider the setting where a master wants to run a distributed stochastic gradient descent (SGD) algorithm on workers each having a subset of the data. Distributed SGD may s…

cs.NI2019★ 17 cited

Optimal Server Selection for Straggler Mitigation

Ajay Badita, Parimal Parag, Vaneet Aggarwal

The performance of large-scale distributed compute systems is adversely impacted by stragglers when the execution time of a job is uncertain. To manage stragglers, we consider a mu…

cs.NI2019★ 3 cited

Mode-Suppression: A Simple, Stable and Scalable Chunk-Sharing Algorithm for P2P Networks

Vamseedhar Reddyvari Raja, Parimal Parag, Srinivas Shakkottai

The ability of a P2P network to scale its throughput up in proportion to the arrival rate of peers has recently been shown to be crucially dependent on the chunk sharing policy emp…

cs.IT2018★ 42 cited

Optimal Source Codes for Timely Updates

Prathamesh Mayekar, Parimal Parag, Himanshu Tyagi

A transmitter observing a sequence of independent and identically distributed random variables seeks to keep a receiver updated about its latest observations. The receiver need not…

cs.IT2018★ 5 cited

A Systematic Approach to Incremental Redundancy over Erasure Channels

Anoosheh Heidarzadeh, Jean-Francois Chamberland, Parimal Parag +1

As sensing and instrumentation play an increasingly important role in systems controlled over wired and wireless networks, the need to better understand delay-sensitive communicati…

cs.IT2018★ 57 cited

Minimizing Latency for Secure Coded Computing Using Secret Sharing via Staircase Codes

Rawad Bitar, Parimal Parag, Salim El Rouayheb

We consider the setting of a Master server, M, who possesses confidential data (e.g., personal, genomic or medical data) and wants to run intensive computations on it, as part of a…

cs.IT2017★ 77 cited

Minimizing Latency for Secure Distributed Computing

Rawad Bitar, Parimal Parag, Salim El Rouayheb

We consider the setting of a master server who possesses confidential data (genomic, medical data, etc.) and wants to run intensive computations on it, as part of a machine learnin…

cs.IT2010★ 7 cited

On the Queueing Behavior of Random Codes over a Gilbert-Elliot Erasure Channel

Parimal Parag, Jean-Francois Chamberland, Henry D. Pfister +1

This paper considers the queueing performance of a system that transmits coded data over a time-varying erasure channel. In our model, the queue length and channel state together f…