4 citations · 12 across the 14 of their papers we have counts for
19 papers
UnAct: Gradient-Free Unlearning via Targeted Activation Intervention
Saeed Abdul Muizz, Aayat Rafiq, Iqra Altaf Gillani +1
Machine unlearning seeks to remove the influence of designated training data from a trained model without retraining from scratch. Retrain-free methods such as Selective Synaptic D…
From Propagation to Protection: Risk-Aware Diffusion for Harm Minimization in Signed Social Networks
Aaqib Zahoor, Janibul Bashir, Iqra Altaf Gillani
Real-world social relationships are not uniformly supportive. Information through hostile connections can increase resistance, anxiety, or misinformation rather than adoption. Clas…
Spectral Efficiency Centrality: An Efficient Spectral Approach for Influential Node Identification in Temporal Networks
Aksa Urooj, Iqra Altaf Gillani
Centrality measures play a vital role in identifying influential nodes in evolving networks. While existing temporal centrality measures primarily rely on local structural properti…
Centrality Measures in Temporal Networks: A Critical and Comparative Survey
Aksa Urooj, Iqra Altaf Gillani
Temporal networks offer a suitable representation for complex systems in which interactions vary over time, such as communication, transportation, and social networks. Identifying…
Bolbosh: Script-Aware Flow Matching for Kashmiri Text-to-Speech
Tajamul Ashraf, Burhaan Rasheed Zargar, Saeed Abdul Muizz +5
Kashmiri is spoken by around 7 million people but remains critically underserved in speech technology, despite its official status and rich linguistic heritage. The lack of robust…
Generalizable Federated Learning using Client Adaptive Focal Modulation
Tajamul Ashraf, Iqra Altaf Gillani
Federated learning (FL) has proven essential for privacy-preserving, collaborative training across distributed clients. Our prior work, TransFed, introduced a robust transformer-ba…
Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice
Aaqib Zahoor, Iqra Altaf Gillani, Janibul Bashir
The increasing prominence of temporal networks in online social platforms and dynamic communication systems has made influence maximization a critical research area. Various diffus…
Predict, Reposition, and Allocate: A Greedy and Flow-Based Architecture for Sustainable Urban Food Delivery
Aqsa Ashraf Makhdomi, Iqra Altaf Gillani
The rapid proliferation of food delivery platforms has reshaped urban mobility but has also contributed significantly to environmental degradation through increased greenhouse gas…
Spatio-Temporal Demand Prediction for Food Delivery Using Attention-Driven Graph Neural Networks
Rabia Latief Bhat, Iqra Altaf Gillani
Accurate demand forecasting is critical for enhancing the efficiency and responsiveness of food delivery platforms, where spatial heterogeneity and temporal fluctuations in order v…
ATR-Bench: A Federated Learning Benchmark for Adaptation, Trust, and Reasoning
Tajamul Ashraf, Mohammed Mohsen Peerzada, Moloud Abdar +5
Federated Learning (FL) has emerged as a promising paradigm for collaborative model training while preserving data privacy across decentralized participants. As FL adoption grows,…
Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors
Aaqib Zahoor, Iqra Altaf Gillani, Janib ul Bashir
Influence maximization in temporal social networks presents unique challenges due to the dynamic interactions that evolve over time. Traditional diffusion models often fall short i…
Highly Dynamic and Fully Distributed Data Structures
John Augustine, Antonio Cruciani, Iqra Altaf Gillani
We study robust and efficient distributed algorithms for building and maintaining distributed data structures in dynamic Peer-to-Peer (P2P) networks. P2P networks are characterized…
Fair and Efficient Ridesharing: A Dynamic Programming-based Relocation Approach
Aqsa Ashraf Makhdomi, Iqra Altaf Gillani
Recommending routes by their probability of having a rider has long been the goal of conventional route recommendation systems. While this maximizes the platform-specific criteria…
A greedy approach for increased vehicle utilization in ridesharing networks
Aqsa Ashraf Makhdomi, Iqra Altaf Gillani
In recent years, ridesharing platforms have become a prominent mode of transportation for the residents of urban areas. As a fundamental problem, route recommendation for these pla…
GNN-based Passenger Request Prediction
Aqsa Ashraf Makhdomi, Iqra Altaf Gillani
Passenger request prediction is essential for operations planning, control, and management in ride-sharing platforms. While the demand prediction problem has been studied extensive…
Balance Maximization in Signed Networks via Edge Deletions
Kartik Sharma, Iqra Altaf Gillani, Sourav Medya +2
In signed networks, each edge is labeled as either positive or negative. The edge sign captures the polarity of a relationship. Balance of signed networks is a well-studied propert…
A Distributed Laplacian Solver and its Applications to Electrical Flow and Random Spanning Tree Computation
Iqra Altaf Gillani, Amitabha Bagchi
We use queueing networks to present a new approach to solving Laplacian systems. This marks a significant departure from the existing techniques, mostly based on graph-theoretic co…
Random walk based in-network computation of arbitrary functions
Iqra Altaf Gillani, Pooja Vyavahare, Amitabha Bagchi
We study in-network computation on general network topologies. Specifically, we are given the description of a function, and a network with distinct nodes at which the operands of…
A Stochastic Process on a Network with Connections to Laplacian Systems of Equations
Iqra Altaf Gillani, Amitabha Bagchi, Pooja Vyavahare
We study an open discrete-time queueing network that models the collection of data in a multi-hop sensor network. We assume data is generated at the sensor nodes as a discrete-time…