227 citations · 234 across the 12 of their papers we have counts for
12 papers
Federated Continual Learning as a Distributed Drift-Plus-Penalty Control Problem
Nazreen Shah, Naveen Kumar Reddy Somireddy, Zubair Shaban +2
Federated Continual Learning (FCL) is fundamental to real-world distributed learning systems, requiring models to adapt to sequential, non-IID data across clients while mitigating…
Channel-Adaptive Robust Aggregation for Over-the-Air Federated Learning in Heterogeneous Networks
Zubaida Fatima, Zubair Shaban, Yusuf Jamal +3
The growing demand for privacy-preserving, data-intensive applications such as IoT, augmented reality, and autonomous systems positions Federated Learning (FL) as a key enabler in…
On Homomorphic Encryption Based Strategies for Class Imbalance in Federated Learning
Arpit Guleria, J. Harshan, Ranjitha Prasad +1
Class imbalance in training datasets can lead to bias and poor generalization in machine learning models. While pre-processing of training datasets can efficiently address both the…
Online Learning to Cache and Recommend in the Next Generation Cellular Networks
S. Krishnendu, B. N. Bharath, Vimal Bhatia
An efficient caching can be achieved by predicting the popularity of the files accurately. It is well known that the popularity of a file can be nudged by using recommendation, and…
Multi-task Federated Edge Learning (MtFEEL) in Wireless Networks
Sawan Singh Mahara, Shruti M., B. N. Bharath +1
Federated Learning (FL) has evolved as a promising technique to handle distributed machine learning across edge devices. A single neural network (NN) that optimises a global object…
Learning to Cache: Distributed Coded Caching in a Cellular Network With Correlated Demands
S. Krishnendu, B. N. Bharath, Navneet Garg +2
Design of distributed caching mechanisms is considered as an active area of research due to its promising solution in reducing data load in the backhaul link of a cellular network.…
Secure Communication in Dynamic Wireless Ad hoc Networks
B. N. Bharath, K. G. Nagananda
We consider a wireless ad hoc network in the presence of eavesdroppers (EDs), where the nodes are distributed according to independent Poisson point processes (PPPs). The legitimat…
Caching With Time-Varying Popularity Profiles: A Learning-Theoretic Perspective
B. N. Bharath, K. G. Nagananda, D. Gündüz +1
Content caching at the small-cell base stations (sBSs) in a heterogeneous wireless network is considered. A cost function is proposed that captures the backhaul link load called th…
Time Complexity Analysis of a Distributed Stochastic Optimization in a Non-Stationary Environment
B. N. Bharath, P. Vaishali
In this paper, we consider a distributed stochastic optimization problem where the goal is to minimize the time average of a cost function subject to a set of constraints on the ti…
A Probably Approximately Correct Answer to Distributed Stochastic Optimization in a Non-stationary Environment
B. N. Bharath, Vaishali P
This paper considers a distributed stochastic optimization problem where the goal is to minimize the time average of a cost function subject to a set of constraints on the time ave…
A Learning-Based Approach to Caching in Heterogenous Small Cell Networks
B. N. Bharath, K. G. Nagananda, H. Vincent Poor
A heterogenous network with base stations (BSs), small base stations (SBSs) and users distributed according to independent Poisson point processes is considered. SBS nodes are assu…
On the DMT of TDD-SIMO Systems with Channel-Dependent Reverse Channel Training
B. N. Bharath, Chandra R. Murthy
This paper investigates the Diversity-Multiplexing gain Trade-off (DMT) of a training based reciprocal Single Input Multiple Output (SIMO) system, with (i) perfect Channel State In…