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distributed learning

563 papers

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Also known as

DL-DCL DML

Co-occurring keywords

federated learning (1320) stochastic gradient descent (1088) communication efficiency (297) distributed optimization (275) stochastic optimization (1060) decentralized optimization (113) communication complexity (99) distributed training (187) gradient compression (78) gradient descent (1143)

Papers

Learning Federated Visual Prompt in Null Space for MRI Reconstruction CVPR 2023
DynaFed: Tackling Client Data Heterogeneity With Global Dynamics CVPR 2023
Multi-Agent Learning with Heterogeneous Linear Contextual Bandits NIPS 2023
Federated Multi-Objective Learning NIPS 2023
Efficient Device Scheduling with Multi-Job Federated Learning AAAI 2022
AsyncFL: Asynchronous Federated Learning Using Majority Voting with Quantized Model Updates (Student Abstract) AAAI 2022
Efficient Decentralized Stochastic Gradient Descent Method for Nonconvex Finite-Sum Optimization Problems AAAI 2022
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD AAAI 2022
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems AAAI 2022
SplitFed: When Federated Learning Meets Split Learning AAAI 2022
Distributed Randomized Sketching Kernel Learning AAAI 2022
Beyond spectral gap: the role of the topology in decentralized learning NIPS 2022
Learning Pollution Maps from Mobile Phone Images IJCAI 2022
Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays NIPS 2022
Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems NIPS 2022
Optimal Algorithms for Decentralized Stochastic Variational Inequalities NIPS 2022
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems NIPS 2022
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks NIPS 2022
Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game NIPS 2022
Distributed Learning with Strategic Users: A Repeated Game Approach AAAI 2022
Implicit Gradient Alignment in Distributed and Federated Learning AAAI 2022
Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees NIPS 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning NIPS 2022
TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training NIPS 2022
Towards Verifiable Federated Learning IJCAI 2022