Ali Sayed

Professor and Dean of Engineering

École Polytechnique Fédérale de Lausanne

Switzerland

Research Interests

Explore related searches

Professors in Switzerland

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Ali Sayed is a Professor and Dean of Engineering at École Polytechnique Fédérale de Lausanne, Switzerland. His research areas include distributed learning, decentralized training, social machine learning, and multiagent systems. Recent articles reflect his focus on optimization techniques and learning frameworks in complex networks and data-limited environments.

Articles (26)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Collaborators (4)

Jose Moura

Phil L and Marsha Dowd University Professor

Carnegie Mellon University

UNITED STATES

View details

Malek Khammassi

EPFL (École Polytechnique Fédérale de Lausanne)

SWITZERLAND

View details

Stefan Vlaski

Lecturer

Imperial College London

UNITED KINGDOM

View details

Soummya Kar

Professor

Carnegie Mellon University

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Ali Sayed

Research Interests

Explore related searches

Contact this professor

About

Articles (26)

Decentralized Adversarial Training Over Graphs

Differential Error Feedback for Communication-Efficient Decentralized Learning

On the Trade-Off Between Flatness and Optimization in Distributed Learning

Non-asymptotic performance of social machine learning under limited data

Adaptive Social Learning for Slow Markov Chains

Diffusion Stochastic Optimization for Min-Max Problems

Masked Diffusion Strategy for Privacy-Preserving Distributed Learning

Detection of Malicious Agents in Social Learning

Diffusion Moving-Average Adaptation Over Networks

Distributed Adaptive Learning Under Communication Constraints

Graph Exploration for Effective Multiagent Q-Learning

On the Arithmetic and Geometric Fusion of Beliefs for Distributed Inference

Social Learning in Community Structured Graphs

Social Opinion Formation and Decision Making Under Communication Trends

Socially Intelligent Networks: A framework for decision making over graphs

Causal Influence in Federated Edge Inference

Networked Signal and Information Processing: Learning by multiagent systems

Optimal Aggregation Strategies for Social Learning Over Graphs

Self-Aware Social Learning Over Graphs

Learning From Heterogeneous Data Based on Social Interactions Over Graphs

Partial Information Sharing Over Social Learning Networks

Estimating the Topology of Preferential Attachment Graphs Under Partial Observability

Design of a Tap-Amplitude-Based Block Proportional Adaptive Filtering Algorithm

Diffusion Bayesian Decorrelation Algorithms Over Networks

Discovering Influencers in Opinion Formation Over Social Graphs

Memory-Aware Social Learning Under Partial Information Sharing

Collaborators (4)

Jose Moura

Malek Khammassi

Stefan Vlaski

Soummya Kar

Make your next move.