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A comparison of Nash equilibria analysis and agent-based modelling for power markets

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Byzantine Fault-Tolerance in Federated Local SGD Under 2f-Redundancy

Nirupam Gupta

In this article, we study the problem of Byzantine fault-tolerance in a federated optimization setting, where there is a group of agents communicating with a centralized coordinator. We allow up to

f

Byzantine-faulty agents, which may not follow a prescr ...

Piscataway2023

A comparison of Nash equilibria analysis and agent-based modelling for power markets

Graph Chatbot

Chattez avec Graph Search

Impact of Redundancy on Resilience in Distributed Optimization and Learning

Partial Information Sharing Over Social Learning Networks

Challenges and approaches in bridging the biomimicry gap in biohybrid systems of fish and robots

Multi-agent Reinforcement Learning for Assembly of a Spanning Structure

Discovering Influencers in Opinion Formation Over Social Graphs

Hierarchical Pricing Game for Balancing the Charging of Ride-Hailing Electric Fleets

Learning From Heterogeneous Data Based on Social Interactions Over Graphs

Reinforcement learning approach to control an inverted pendulum: A general framework for educational purposes

Alternation makes the adversary weaker in two-player games

Byzantine Fault-Tolerance in Federated Local SGD Under 2f-Redundancy

Challenges and approaches in bridging the biomimicry gap in biohybrid systems of fish and robots

Reinforcement learning approach to control an inverted pendulum: A general framework for educational purposes

Alternation makes the adversary weaker in two-player games

Byzantine Fault-Tolerance in Federated Local SGD Under 2f-Redundancy

Multi-agent Reinforcement Learning for Assembly of a Spanning Structure

Discovering Influencers in Opinion Formation Over Social Graphs

Hierarchical Pricing Game for Balancing the Charging of Ride-Hailing Electric Fleets

Learning From Heterogeneous Data Based on Social Interactions Over Graphs

Impact of Redundancy on Resilience in Distributed Optimization and Learning

Partial Information Sharing Over Social Learning Networks