:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tyagi, Sahil, Sharma, Prateek
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2503.17469
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ScaDLES: Scalable Deep Learning over Streaming data at the Edge
by: Tyagi, Sahil, et al.
Published: (2023)

OmniFed: A Modular Framework for Configurable Federated Learning from Edge to HPC
by: Tyagi, Sahil, et al.
Published: (2025)

On Using Large-Batches in Federated Learning
by: Tyagi, Sahil
Published: (2025)

GraVAC: Adaptive Compression for Communication-Efficient Distributed DL Training
by: Tyagi, Sahil, et al.
Published: (2023)

Tula: Optimizing Time, Cost, and Generalization in Distributed Large-Batch Training
by: Tyagi, Sahil, et al.
Published: (2026)

Accelerating Distributed ML Training via Selective Synchronization
by: Tyagi, Sahil, et al.
Published: (2023)

OmniLearned: A Foundation Model Framework for All Tasks Involving Jet Physics
by: Bhimji, Wahid, et al.
Published: (2025)

Deep Clustering via Distribution Learning
by: Dong, Guanfang, et al.
Published: (2024)

Flexible Communication for Optimal Distributed Learning over Unpredictable Networks
by: Tyagi, Sahil, et al.
Published: (2023)

A Unified Framework for Structure-Aware Clustering and Heterogeneous Causal Graph Learning
by: Du, Honglin, et al.
Published: (2026)

OmniSage: Large Scale, Multi-Entity Heterogeneous Graph Representation Learning
by: Badrinath, Anirudhan, et al.
Published: (2025)

OmniXAS: A Universal Deep-Learning Framework for Materials X-ray Absorption Spectra
by: Kharel, Shubha R., et al.
Published: (2024)

Identifying Heterogeneity in Distributed Learning
by: Xiao, Zelin, et al.
Published: (2025)

A Unified Framework for Human-Allied Learning of Probabilistic Circuits
by: Karanam, Athresh, et al.
Published: (2024)

Omni-DeepSearch: A Benchmark for Audio-Driven Omni-Modal Deep Search
by: Yu, Tao, et al.
Published: (2026)

Deep Clustering of Tabular Data by Weighted Gaussian Distribution Learning
by: Rabbani, Shourav B., et al.
Published: (2023)

Scalable Neural Network Training over Distributed Graphs
by: Kolluri, Aashish, et al.
Published: (2023)

Uncertainty-Aware Deep Learning Framework for Remaining Useful Life Prediction in Turbofan Engines with Learned Aleatoric Uncertainty
by: Sharma, Krishang
Published: (2025)

Physics Informed Deep Learning for Strain Gradient Continuum Plasticity
by: Tyagi, Ankit, et al.
Published: (2024)

DeepHeteroIoT: Deep Local and Global Learning over Heterogeneous IoT Sensor Data
by: Inan, Muhammad Sakib Khan, et al.
Published: (2024)

LCFed: An Efficient Clustered Federated Learning Framework for Heterogeneous Data
by: Zhang, Yuxin, et al.
Published: (2025)

CLEAR: Cluster-based Prompt Learning on Heterogeneous Graphs
by: Wang, Feiyang, et al.
Published: (2025)

Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs
by: Zhang, Tiehua, et al.
Published: (2023)

Joint Learning of Linear Dynamical Systems under Smoothness Constraints
by: Tyagi, Hemant
Published: (2024)

OmniISR: A Unified Framework for Centralized and Federated Learning via Intermediate Supervision and Regularization
by: Kou, Wei-Bin, et al.
Published: (2026)

Convex Distillation: Efficient Compression of Deep Networks via Convex Optimization
by: Varshney, Prateek, et al.
Published: (2024)

Deep Learning for Individual Heterogeneity
by: Farrell, Max H., et al.
Published: (2020)

Dynamic Clustering for Personalized Federated Learning on Heterogeneous Edge Devices
by: Liu, Heting, et al.
Published: (2025)

GPU Cluster Scheduling for Network-Sensitive Deep Learning
by: Sharma, Aakash, et al.
Published: (2024)

FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data
by: Zhang, Yuxin, et al.
Published: (2024)

Data Distribution-based Curriculum Learning
by: Chaudhry, Shonal, et al.
Published: (2024)

Dual-Branch Convolutional Framework for Spatial and Frequency-Based Image Forgery Detection
by: Tyagi, Naman, et al.
Published: (2025)

Vehicle-as-Prompt: A Unified Deep Reinforcement Learning Framework for Heterogeneous Fleet Vehicle Routing Problem
by: Huang, Shihong, et al.
Published: (2026)

FedDAG: Clustered Federated Learning via Global Data and Gradient Integration for Heterogeneous Environments
by: Pramanik, Anik, et al.
Published: (2026)

Masked Diffusion Models are Secretly Learned-Order Autoregressive Models
by: Garg, Prateek, et al.
Published: (2025)

A Semi-Supervised Federated Learning Framework with Hierarchical Clustering Aggregation for Heterogeneous Satellite Networks
by: Liu, Zhuocheng, et al.
Published: (2025)

Clustered Federated Learning via Embedding Distributions
by: Zhang, Dekai, et al.
Published: (2025)

Causal Learning for Heterogeneous Subgroups Based on Nonlinear Causal Kernel Clustering
by: Liu, Lu, et al.
Published: (2025)

MAD-OOD: A Deep Learning Cluster-Driven Framework for an Out-of-Distribution Malware Detection and Classification
by: Ige, Tosin, et al.
Published: (2025)

Predicting Student Success with Heterogeneous Graph Deep Learning and Machine Learning Models
by: Muresan, Anca, et al.
Published: (2026)