2 citations · 4 across the 15 of their papers we have counts for
16 papers
Distributed Federated Learning by Alternating Periods of Training
Shamik Bhattacharyya, Rachel Kalpana Kalaimani
Federated learning is a privacy-focused approach towards machine learning where models are trained on client devices with locally available data and aggregated at a central server.…
Almost Sure Convergence and Non-asymptotic Concentration Bounds for Stochastic Mirror Descent Algorithm
Anik Kumar Paul, Arun D Mahindrakar, Rachel K Kalaimani
This letter investigates the convergence and concentration properties of the Stochastic Mirror Descent (SMD) algorithm utilizing biased stochastic subgradients. We establish the al…
Convergence Analysis of Stochastic Saddle Point Mirror Descent Algorithm -- A Projected Dynamical View Point
Anik Kumar Paul, Arun D Mahindrakar, Rachel K Kalaimani
Saddle point problems, ubiquitous in optimization, extend beyond game theory to diverse domains like power networks and reinforcement learning. This paper presents novel approaches…
Optimal Pinning Control for Synchronization over Temporal Networks
Aandrew Baggio S, Rachel Kalpana Kalaimani
In this paper, we address the finite time synchronization of a network of dynamical systems with time-varying interactions modeled using temporal networks. We synchronize a few nod…
Resilient Dynamic Average Consensus based on Trusted agents
Shamik Bhattacharyya, Rachel Kalpana Kalaimani
In this paper, we address the discrete-time dynamic average consensus (DAC) of a multi-agent system in the presence of adversarial attacks. The adversarial attack is considered to…
Robust Analysis of Almost Sure Convergence of Zeroth-Order Mirror Descent Algorithm
Anik Kumar Paul, Arun D Mahindrakar, Rachel K Kalaimani
This letter presents an almost sure convergence of the zeroth-order mirror descent algorithm. The algorithm admits non-smooth convex functions and a biased oracle which only provid…
Online Distributed Algorithm for Optimal Power Flow problem with Regret Analysis
Sushobhan Chatterjee, Rachel Kalpana Kalaimani
We investigate the distributed DC-Optimal Power Flow (DC-OPF) problem for a dynamic and uncertain environment. The unpredictable supply of renewable resources and varying prices of…
ADMM based Distributed State Observer Design under Sparse Sensor Attacks
Vinaya Mary Prinse, Rachel Kalpana Kalaimani
This paper considers the design of a distributed state-observer for discrete-time Linear Time-Invariant (LTI) systems in the presence of sensor attacks. We assume there is a networ…
Distributed Optimization of Average Consensus Containment with Multiple Stationary Leaders
Sushobhan Chatterjee, Rachel Kalpana Kalaimani
In this paper, we consider the problem of containment control of multi-agent systems with multiple stationary leaders, interacting over a directed network. While, containment contr…
Distributed Online Optimization with Byzantine Adversarial Agents
Sourav Sahoo, Anand Gokhale, Rachel Kalpana Kalaimani
We study the problem of non-constrained, discrete-time, online distributed optimization in a multi-agent system where some of the agents do not follow the prescribed update rule ei…
Distributed Estimation over Directed Graphs Resilient to Sensor Spoofing
Shamik Bhattacharyya, Kiran Rokade, Rachel Kalpana Kalaimani
This paper addresses the problem of distributed estimation of an unknown dynamic parameter by a multi-agent system over a directed communication network in the presence of an adver…
Distributed ADMM with linear updates over directed networks
Kiran Rokade, Rachel Kalpana Kalaimani
We propose a distributed version of the Alternating Direction Method of Multipliers (ADMM) with linear updates for directed networks. We show that if the objective function of the…
Distributed computation of fast consensus weights using ADMM
Kiran Rokade, Rachel Kalpana Kalaimani
We consider the problem of achieving average consensus among multiple agents, where the inter-agent communication network is depicted by a graph. We consider the discrete-time cons…
Using Personal Environmental Comfort Systems to Mitigate the Impact of Occupancy Prediction Errors on HVAC Performance
Milan Jain, Rachel K Kalaimani, Srinivasan Keshav +1
Heating, Ventilation and Air Conditioning (HVAC) consumes a significant fraction of energy in commercial buildings. Hence, the use of optimization techniques to reduce HVAC energy…
On the Interaction between Personal Comfort Systems and Centralized HVAC Systems in Office Buildings
Rachel Kalaimani, Milan Jain, Srinivasan Keshav +1
Most modern HVAC systems suffer from two intrinsic problems. First, inability to meet diverse comfort requirements of the occupants. Second, heat or cool an entire zone even when t…
Formation control with pole placement for multi-agent systems
Ameer K. Mulla, Rachel K. Kalaimani, Debraj Chakraborty +1
The problem of distributed controller synthesis for formation control of multi-agent systems is considered. The agents (single integrators) communicate over a communication graph a…