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Vaneet Aggarwal — most-cited papers & profile · Federated Learning
← authors
·
overview
Vaneet Aggarwal
73
papers ·
104
citations ·
41
h-index
Purdue University West Lafayette
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates
2023 · 10 citations
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
2024 · 7 citations
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning
2022 · 4 citations
Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks
2022 · 1 citations
FilFL: Client Filtering for Optimized Client Participation in Federated Learning
2023 · 1 citations
Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent
2021
Multi-Edge Server-Assisted Dynamic Federated Learning with an Optimized Floating Aggregation Point
2022
Online Federated Learning via Non-Stationary Detection and Adaptation amidst Concept Drift
2022
Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks
2023
Global Convergence Guarantees for Federated Policy Gradient Methods with Adversaries
2024
Federated Combinatorial Multi-Agent Multi-Armed Bandits
2024
Top co-authors
Christopher G. Brinton
· 4
David J. Love
· 3
Anis Elgabli
· 2
Bhargav Ganguly
· 2
Chaouki Ben Issaid
· 2
Fares Fourati
· 2
Guangchen Lan
· 2
Mehdi Bennis
· 2
Mohamed-Slim Alouini
· 2
Mung Chiang
· 2
Seyyedali Hosseinalipour
· 2
Abolfazl Hashemi
· 1
Topics
Federated Learning
Optimization
Communication
Privacy
Edge Computing